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Sigma and Blueprint Technologies Announce Strategic Partnership to Accelerate Data-Driven Innovation in the Databricks Ecosystem

Sigma and Blueprint Technologies Announce Strategic Partnership to Accelerate Data-Driven Innovation in the Databricks Ecosystem

Business Wirea day ago

SAN FRANCISCO--(BUSINESS WIRE)--Sigma, the industry-leading analytics platform with unique cloud data platform writeback capabilities, today announced a new strategic partnership with Blueprint Technologies, a leader in data intelligence solutions. The partnership will focus on delivering high-impact data solutions for joint customers, particularly within the Databricks ecosystem.
'Sigma's ability to bring governed self-service analytics directly to business users is a perfect complement to the data mesh environments we build on Databricks,' said Ryan Neal, President and CEO of Blueprint Technologies.
Blueprint Technologies is a data intelligence solution integrator and ISV that helps organizations modernize their data estates, implement advanced analytics, and optimize cloud and platform performance. As an integrator, Blueprint delivers end-to-end solutions across data engineering, AI, governance, and FinOps, often leveraging its own accelerators to reduce time to value. As an ISV, Blueprint offers scalable software products that provide data observability, cost management, and GenAI-powered automation to drive operational efficiency and business insight. Together, Sigma and Blueprint Technologies will empower data and business teams to more rapidly turn cloud data into real-time insights without code using Sigma's spreadsheet-native interface and Blueprint's proven implementation strategies.
'Blueprint Technologies brings a rare combination of strategic insight and hands-on technical depth, especially when it comes to delivering on the full promise of Databricks,' said Mike Palmer, CEO of Sigma. 'Their ability to translate complex data environments into scalable, real-time solutions aligns perfectly with Sigma's mission to make cloud data accessible to every decision-maker. Together, we're helping customers build powerful data apps, apply AI directly to their analytics, and unlock real-time insights across the enterprise.'
As companies increasingly adopt data mesh frameworks to support decentralized data ownership and scale analytics across the enterprise, the combination of Blueprint Technologies' architecture expertise and Sigma's live, spreadsheet-native cloud analytics platform offers a powerful path to governed, self-service insights without compromising on security or performance.
'Sigma's ability to bring governed self-service analytics directly to business users is a perfect complement to the data mesh environments we build on Databricks,' said Ryan Neal, President and CEO of Blueprint Technologies. 'We're proud to partner with Sigma to help customers move from siloed data to trusted, actionable intelligence—faster than ever.'
To learn more about how Sigma can accelerate insights, improve performance, and drive innovation by seamlessly integrating analytics, automation, and collaboration, visit Sigma, the 2025 Databricks Business Intelligence Partner of the Year, at Booth #606 at the Data + AI Summit in San Francisco, June 9-12. To learn more about Blueprint's solutions and accelerators, visit Blueprint, the Databricks Unity Catalog Partner of the Year, at booth #F708 and at the Blueprint Lounge on the Expo Floor.
ABOUT SIGMA
Sigma is business intelligence built for the cloud. With a spreadsheet UI, business users can work in the formulas and functions they already know, while more technical users can write SQL and apply AI models to data. Sigma queries the cloud warehouse directly, making it incredibly fast and secure—data never leaves the warehouse, and Sigma can analyze billions of rows in seconds. Beyond dashboards and reports, teams use Sigma to build custom data apps, which integrate live data with end user input. Sigma is the first analytics platform to enable data writeback, and continues to lead the market with innovation across AI, reporting, and embedded analytics.

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Zedge Announces Third Quarter Fiscal 2025 Results
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Third Quarter Select Financial Metrics: FY25 versus FY24* (in $M except for EPS) Q3 '25 Q3 '24 Change FY 25YTD FY 24YTD Change Total Revenue $ 7.8 $ 7.7 1.3 % $ 21.9 $ 22.5 -2.6 % Advertising Revenue $ 5.6 $ 5.5 2.2 % $ 15.1 $ 15.9 -4.6 % Digital Goods and Services Revenue $ 0.5 $ 0.9 -45.3 % $ 1.7 $ 2.7 -36.5 % Subscription Revenue $ 1.3 $ 1.1 13.4 % $ 3.7 $ 3.2 15.7 % Other Revenue $ 0.4 $ 0.2 109.2 % $ 1.4 $ 0.7 91.2 % GAAP Operating Income (Loss) $ 0.2 $ (0.1 ) nm $ (2.5 ) $ (11.7 ) 78.6 % Operating Margin 2.1 % -1.7 % -11.5 % -52.2 % GAAP Net Income (Loss) $ 0.2 $ 0.1 63.7 % $ (1.8 ) $ (9.1 ) 79.9 % GAAP Diluted EPS (Loss per share) $ 0.01 $ 0.01 70.8 % $ (0.13 ) $ (0.65 ) 80.0 % Non-GAAP Net Income $ 0.9 $ 0.5 81.5 % $ 0.6 $ 1.5 -57.8 % Non- GAAP Diluted EPS $ 0.06 $ 0.03 89.4 % $ 0.05 $ 0.10 -56.7 % Cash Flow from Operations $ 0.9 $ 2.3 -62.9 % $ 2.7 $ 5.2 -46.7 % Free Cash Flow $ 0.8 $ 2.1 -64.2 % $ 2.4 $ 4.1 -42.6 % Adjusted EBITDA $ 1.2 $ 0.9 46.0 % $ 1.5 $ 3.9 -63.0 % Shares Repurchased 0.22 0.06 266.7 % 0.68 0.06 1033.3 % nm = not measurable/meaningful *numbers/percentages are based off of actuals versus the rounded numbers in the table Select Zedge Marketplace Metrics: FY25 versus FY24* (in MM except for ARPMAU and where noted) Q3 '25 Q3 '24 Change Total Installs - Cumulative 706.9 660.9 7.0 % MAU 22.1 27.7 -20.3 % Well-Developed Markets 5.2 6.0 -13.4 % Emerging Markets 16.9 21.7 -22.2 % Active Subscriptions (in 000s) 896 654 37.0 % ARPMAU $ 0.099 $ 0.074 32.7 % Zedge Premium - Gross Transaction Value (GTV) $ 0.61 $ 0.59 3.8 % *numbers/percentages are based off of actuals versus the rounded numbers in the table Trended Financial Information* (in $M except for EPS, ARPMAU, Paid Subscriptions) Q123 Q223 Q323 Q423 Q124 Q224 Q324 Q424 Q125 Q225 Q325 FY23 FY24 YTD FY25 Total Revenue $ 6.9 $ 7.0 $ 6.7 $ 6.6 $ 7.1 $ 7.8 $ 7.7 $ 7.6 $ 7.2 $ 7.0 $ 7.8 $ 27.2 $ 30.1 $ 21.9 Advertising Revenue $ 4.5 $ 4.6 $ 4.6 $ 4.6 $ 4.9 $ 5.5 $ 5.5 $ 5.2 $ 4.9 $ 4.7 $ 5.6 $ 18.3 $ 21.0 $ 15.1 Digital Goods and Services Revenue $ 1.3 $ 1.2 $ 1.1 $ 1.0 $ 0.9 $ 0.9 $ 0.9 $ 0.7 $ 0.6 $ 0.6 $ 0.5 $ 4.6 $ 3.5 $ 1.7 Subscription Revenue $ 0.9 $ 0.9 $ 0.8 $ 0.9 $ 1.0 $ 1.1 $ 1.1 $ 1.2 $ 1.2 $ 1.2 $ 1.3 $ 3.5 $ 4.3 $ 3.7 Other Revenue $ 0.2 $ 0.2 $ 0.2 $ 0.2 $ 0.2 $ 0.3 $ 0.2 $ 0.5 $ 0.5 $ 0.4 $ 0.4 $ 0.8 $ 1.2 $ 1.4 GAAP Operating Income (Loss) $ (0.2 ) $ 1.5 $ (8.4 ) $ 0.2 $ 0.3 $ (11.9 ) $ (0.1 ) $ (0.1 ) $ (0.5 ) $ (2.2 ) $ 0.2 $ (6.9 ) $ (11.8 ) $ (2.5 ) GAAP Net Income (Loss) $ (0.2 ) $ 1.6 $ (7.7 ) $ 0.2 $ (0.0 ) $ (9.2 ) $ 0.1 $ (0.0 ) $ (0.3 ) $ (1.7 ) $ 0.2 $ (6.1 ) $ (9.2 ) $ (1.8 ) GAAP Diluted EPS (Loss per share) $ (0.01 ) $ 0.11 $ (0.55 ) $ 0.01 $ 0.00 $ (0.66 ) $ 0.01 $ 0.00 $ (0.02 ) $ (0.12 ) $ 0.01 $ (0.44 ) $ (0.65 ) $ (0.13 ) Non GAAP Net Income (Loss) $ 0.2 $ 0.8 $ 0.3 $ 0.6 $ 0.5 $ 0.5 $ 0.5 $ 0.3 $ (0.0 ) $ (0.2 ) $ 0.9 $ 1.9 $ 1.8 $ 0.6 Non-GAAP Diluted EPS (Loss per share) $ 0.01 $ 0.06 $ 0.02 $ 0.04 $ 0.04 $ 0.04 $ 0.03 $ 0.02 $ (0.00 ) $ (0.01 ) $ 0.06 $ 0.13 $ 0.13 $ 0.05 Cash Flow from Operations $ 1.1 $ 0.0 $ 1.6 $ 0.4 $ 1.3 $ 1.6 $ 2.3 $ 0.7 $ 1.2 $ 0.7 $ 0.9 $ 3.2 $ 5.9 $ 2.7 Free Cash Flow $ 0.7 $ (0.3 ) $ 1.2 $ 0.1 $ 0.8 $ 1.2 $ 2.1 $ 0.5 $ 1.0 $ 0.6 $ 0.8 $ 1.7 $ 4.7 $ 2.4 Adjusted EBITDA $ 1.0 $ 1.4 $ 1.7 $ 1.6 $ 1.5 $ 1.5 $ 0.9 $ 0.8 $ 0.3 $ (0.1 ) $ 1.2 $ 5.7 $ 4.7 $ 1.5 MAU 31.9 32.2 32.0 30.9 28.5 28.7 27.7 26.1 25.0 24.7 22.1 nm nm nm Well-developed Markets 7.1 7.4 7.2 6.8 6.2 6.2 6.0 5.5 5.5 5.6 5.2 nm nm nm Emerging Markets 24.8 24.8 24.8 24.1 22.3 22.5 21.7 20.6 19.5 19.1 16.9 nm nm nm Active Subscriptions (in 000s) 674 654 631 647 648 648 654 669 698 791 896 nm nm nm ARPMAU $ 0.054 $ 0.052 $ 0.053 $ 0.055 $ 0.063 $ 0.072 $ 0.074 $ 0.079 $ 0.077 $ 0.078 $ 0.099 nm nm nm Zedge Premium - GTV $ 0.31 $ 0.44 $ 0.41 $ 0.38 $ 0.42 $ 0.54 $ 0.59 $ 0.60 $ 0.68 $ 0.68 $ 0.61 $ 1.54 $ 2.15 $ 1.98 Shares Repurchased 0.00 0.00 0.06 0.15 0.22 0.24 0.22 0.75 0.21 0.68 nm = not measurable/meaningful*numbers may not add due to rounding 1 We use the following supplemental business metrics in this release because we believe they are useful in evaluating Zedge's operational performance. Monthly active users, or MAU, captures the number of unique users that used our Zedge App during the previous 30 days of the relevant period, is useful for evaluating consumer engagement with our App, which correlates to advertising revenue as more users drive more ad impressions for sale. It also allows readers and potential advertisers to evaluate the size of our user base. Zedge Premium Gross Transaction Value, or GTV, is the total dollar amount of transactions conducted through Zedge Premium. As Zedge Premium is an internal focus for growth, we believe this metric will help investors evaluate our progress in growing this part of our business. Average Revenue Per Monthly Active User for our Zedge App, or ARPMAU, is useful in evaluating how well we monetize our user base. An Active Subscription is a subscription that has commenced and not been canceled, including paused subscriptions and subscriptions in free trials, grace periods, or account hold. This is important because it is a source of recurring revenue. Total Installs - Cumulative measures the number of times the Zedge App has been downloaded since inception. 2 Throughout this release, Non-GAAP Net Income, Non-GAAP EPS, Free Cash Flow (FCF), FCF Yield and Adjusted EBITDA/Margin are non-GAAP financial measures intended to provide useful information that supplement Zedge's results in accordance with GAAP. Please refer to the Reconciliation of Non-GAAP Financial measures at the end of this release for an explanation of Zedge's formulations of Non-GAAP Net Income, Non-GAAP EPS, Free Cash Flow and Adjusted EBITDA and reconciliations to the most directly comparable GAAP measures. Earnings Announcement and Supplemental Information Management will host an earnings conference call today at 4:30 PM Eastern to discuss its earnings results, outlook, and strategy, followed by a Q&A session with investors. Live Call-in Info:Toll Free: 888-506-0062International: 973-528-0011Participant Access Code: 253956Webcast URL: Replay:Toll Free: 877-481-4010International: 919-882-2331Replay Passcode: 52502 About Zedge Zedge empowers tens of millions of consumers and creators each month with its suite of interconnected platforms that enable creativity, self-expression and e-commerce and foster community through fun competitions. Zedge's ecosystem of product offerings includes the Zedge Marketplace, a freemium marketplace offering mobile phone wallpapers, video wallpapers, ringtones, notification sounds, and pAInt, a generative AI image maker; GuruShots, "The World's Greatest Photography Game," a skill-based photo challenge game; and Emojipedia, the #1 trusted source for 'all things emoji.' For more information, visit: Follow us on X: @ZedgeFollow us on LinkedIn Forward-Looking Statements All statements above that are not purely about historical facts, including, but not limited to, those in which we use the words "believe," "anticipate," "expect," "plan," "intend," "estimate," "target" and similar expressions, are forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. While these forward-looking statements represent our current judgment of what may happen in the future, actual results may differ materially from the results expressed or implied by these statements due to numerous important factors. Our filings with the SEC provide detailed information on such statements and risks and should be consulted along with this release. To the extent permitted under applicable law, we assume no obligation to update any forward-looking statements. Contact:Brian Siegel, IRC, MBASenior Managing DirectorHayden IR(346) 396-8696ir@ CONDENSED CONSOLIDATED BALANCE SHEETS(in thousands, except par value data) April 30, July 31, 2025 2024 (Unaudited) Assets Current assets: Cash and cash equivalents $ 20,433 $ 19,998 Trade accounts receivable 3,319 3,406 Prepaid expenses and other current assets 946 593 Total Current assets 24,698 23,997 Property and equipment, net 1,277 2,306 Intangible assets, net 5,034 5,369 Goodwill 1,917 1,824 Deferred tax assets, net 4,528 4,344 Other assets 377 355 Total assets $ 37,831 $ 38,195 Liabilities and stockholders' equity Current liabilities: Trade accounts payable $ 1,388 $ 1,113 Accrued expenses and other current liabilities 2,832 2,969 Deferred revenues 3,070 2,168 Total Current liabilities 7,290 6,250 Deferred revenues--non-current 1,826 931 Other liabilities 87 118 Total liabilities 9,203 7,299 Commitments and contingencies (Note 9) Stockholders' equity: Preferred stock, $.01 par value; authorized shares-2,400; no shares issued and outstanding - - Class A common stock, $.01 par value; authorized shares-2,600; 525 shares issued and outstanding at April 30, 2025 and July 31, 2024 5 5 Class B common stock, $.01 par value; authorized shares-40,000; 14,969 shares issued and 13,228 shares outstanding at April 30, 2025, and 14,866 shares issued and 13,815 outstanding at July 31, 2024 150 149 Additional paid-in capital 49,570 48,263 Accumulated other comprehensive loss (1,545 ) (1,832 ) Accumulated deficit (14,946 ) (13,113 ) Treasury stock, 1,741 shares at April 30, 2025 and 1,051 shares at July 31, 2024, at cost (4,606 ) (2,576 ) Total stockholders' equity 28,628 30,896 Total liabilities and stockholders' equity $ 37,831 $ 38,195 ZEDGE, CONSOLIDATED STATEMENTS OF OPERATIONS AND COMPREHENSIVE LOSS(in thousands, except per share data)(Unaudited) Three Months Ended Nine Months Ended April 30, April 30, 2025 2024 2025 2024 Revenues $ 7,757 $ 7,658 $ 21,930 $ 22,510 Costs and expenses: Direct cost of revenues (excluding amortization of capitalized software and technology development costs which is included below) 452 455 1,360 1,399 Selling, general and administrative 6,343 6,752 20,278 18,773 Depreciation and amortization 225 583 924 2,120 Impairment of intangible assets - - - 11,958 Restructuring charges 577 - 1,058 - Impairment of capitalized software and technology development costs - - 827 - Income (loss) from operations 160 (132 ) (2,517 ) (11,740 ) Interest and other income, net 154 188 507 434 Net loss resulting from foreign exchange transactions (41 ) (80 ) (141 ) (223 ) Income (loss) before income taxes 273 (24 ) (2,151 ) (11,529 ) Income taxes expense (benefit) 88 (137 ) (318 ) (2,397 ) Net income (loss) $ 185 $ 113 $ (1,833 ) $ (9,132 ) Other comprehensive income (loss): Changes in foreign currency translation adjustment 448 (224 ) 287 (341 ) Total other comprehensive income (loss) 448 (224 ) 287 (341 ) Total comprehensive income (loss) $ 633 $ (111 ) $ (1,546 ) $ (9,473 ) Income (loss) per share attributable to Zedge, Inc. common stockholders: Basic $ 0.01 $ 0.01 $ (0.13 ) $ (0.65 ) Diluted $ 0.01 $ 0.01 $ (0.13 ) $ (0.65 ) Weighted-average number of shares used in calculation of income (loss) per share: Basic 13,720 14,191 13,835 14,077 Diluted 13,940 14,542 13,835 14,077 ZEDGE, CONSOLIDATED STATEMENTS OF CASH FLOWS(in thousands)(Unaudited) Nine Months Ended April 30, 2025 2024 Operating activities Net loss $ (1,833 ) $ (9,132 ) Adjustments to reconcile net loss to net cash provided by operating activities: Depreciation 48 42 Amortization of intangible assets 335 1,270 Amortization of capitalized software and technology development costs 541 808 Amortization of deferred financing costs - 15 Stock-based compensation 1,308 1,673 Impairment charge of capitalized software and technology development costs 827 - Impairment charge of intangible assets - 11,958 Impairment of investment in privately-held company - 50 Deferred income taxes (184 ) (2,650 ) Change in assets and liabilities: Trade accounts receivable 87 (442 ) Prepaid expenses and other current assets (353 ) 195 Other assets (54 ) 34 Trade accounts payable and accrued expenses 229 1,073 Deferred revenues 1,797 261 Net cash provided by operating activities 2,748 5,155 Investing activities Capitalized software and technology development costs (329 ) (993 ) Purchase of property and equipment (49 ) (35 ) Net cash used in investing activities (378 ) (1,028 ) Financing activities Prepayment of term loan - (2,000 ) Proceeds from exercise of stock options - 3 Purchase of treasury stock in connection with share buyback program and stock awards vesting (2,030 ) (165 ) Net cash used in financing activities (2,030 ) (2,162 ) Effect of exchange rate changes on cash and cash equivalents 95 (165 ) Net increase in cash and cash equivalents 435 1,800 Cash and cash equivalents at beginning of period 19,998 18,125 Cash and cash equivalents at end of period $ 20,433 $ 19,925 SUPPLEMENTAL DISCLOSURE OF CASH FLOW INFORMATION Cash payments made for income taxes $ 194 $ 80 Cash payments made for interest expenses $ - $ 66 Use of Non-GAAP Measures Adjusted EBITDA, defined as earnings (loss) before interest, taxes, depreciation and amortization, stock compensation expense, transaction-related expenses and other non-recurring expenses, Free Cash Flow, and non-GAAP net income and EPS (which adjust out stock compensation expense, transaction-related expenses and other non-recurring expenses from GAAP net income and EPS), represent measures that we believe are customarily used by investors and analysts to evaluate the financial performance of companies in addition to the GAAP measures we present. Our management also believes these measures are useful in evaluating our core operating results. However, these are not measures of financial performance under GAAP and should not be considered an alternative to net income or operating income/margin as an indicator of our operating performance or to net cash provided by operating activities as a measure of our liquidity. Numbers in the following reconciliation tables may not add due to rounding. Reconciliation of Adjusted EBITDA to Net Income (Loss) Q123 Q223 Q323 Q423 Q124 Q224 Q324 Q424 Q125 Q225 Q325 FY23 FY24 YTDFY25 Net Income (Loss) $ (0.2 ) $ 1.6 $ (7.7 ) $ 0.2 $ (0.0 ) $ (9.2 ) $ 0.1 $ (0.0 ) $ (0.3 ) $ (1.7 ) $ 0.2 $ (6.1 ) $ (9.2 ) $ (1.8 ) Excluding: Interest and other income (expense), net $ (0.0 ) $ (0.1 ) $ (0.1 ) $ (0.1 ) $ (0.1 ) $ (0.2 ) $ (0.2 ) $ (0.2 ) $ (0.2 ) $ (0.2 ) $ (0.2 ) $ (0.3 ) $ (0.6 ) $ (0.5 ) Income taxes expense (benefit) $ (0.1 ) $ 0.1 $ (0.7 ) $ 0.2 $ 0.2 $ (2.5 ) $ (0.1 ) $ 0.2 $ 0.0 $ (0.5 ) $ 0.1 $ (0.5 ) $ (2.2 ) $ (0.3 ) Depreciation and amortization $ 0.8 $ 0.8 $ 0.9 $ 0.8 $ 0.8 $ 0.8 $ 0.6 $ 0.3 $ 0.4 $ 0.3 $ 0.2 $ 3.3 $ 2.5 $ 0.9 EBITDA $ 0.5 $ 2.4 $ (7.6 ) $ 1.0 $ 0.9 $ (11.1 ) $ 0.4 $ 0.3 $ (0.1 ) $ (2.0 ) $ 0.3 $ (3.6 ) $ (9.5 ) $ (1.7 ) Adjustments: Asset impairments and restructuring charges $ (0.2 ) $ (1.8 ) $ 8.7 $ 0.0 $ 0.0 $ 12.0 $ 0.0 $ 0.0 $ 0.0 $ 1.3 $ 0.6 $ 6.8 $ 12.0 $ 1.9 Stock-based compensation $ 0.6 $ 0.8 $ 0.6 $ 0.6 $ 0.5 $ 0.7 $ 0.5 $ 0.5 $ 0.4 $ 0.6 $ 0.3 $ 2.5 $ 2.1 $ 1.3 Transaction costs related to business combination $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.2 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.2 $ 0.0 Adjusted EBITDA $ 1.0 $ 1.4 $ 1.7 $ 1.6 $ 1.5 $ 1.5 $ 0.9 $ 0.8 $ 0.3 $ (0.1 ) $ 1.2 $ 5.7 $ 4.7 $ 1.5 *numbers may not add due to rounding Reconciliation of GAAP Net Income (Loss) to Non-GAAP Net Income Q123 Q223 Q323 Q423 Q124 Q224 Q324 Q424 Q125 Q225 Q325 FY23 FY24 YTDFY25 GAAP Net Income (Loss) $ (0.2 ) $ 1.6 $ (7.7 ) $ 0.2 $ (0.0 ) $ (9.2 ) $ 0.1 $ (0.0 ) $ (0.3 ) $ (1.7 ) $ 0.2 $ (6.1 ) $ (9.2 ) $ (1.8 ) Adjustments: Asset impairments and restructuring charges $ (0.2 ) $ (1.8 ) $ 8.7 $ 0.0 $ 0.0 $ 12.0 $ 0.0 $ 0.0 $ 0.0 $ 1.3 $ 0.6 $ 6.8 $ 12.0 $ 1.9 Stock-based compensation $ 0.6 $ 0.8 $ 0.6 $ 0.6 $ 0.5 $ 0.7 $ 0.5 $ 0.5 $ 0.4 $ 0.6 $ 0.3 $ 2.5 $ 2.1 $ 1.3 Transaction costs related to business combination $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.2 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.0 $ 0.2 $ 0.0 Income tax effect on non-GAAP items $ (0.1 ) $ 0.2 $ (1.3 ) $ (0.1 ) $ (0.2 ) $ (2.9 ) $ (0.1 ) $ (0.1 ) $ (0.1 ) $ (0.4 ) $ (0.2 ) $ (1.3 ) $ (3.3 ) $ (0.7 ) Non-GAAP Net Income (Loss) $ 0.2 $ 0.8 $ 0.3 $ 0.6 $ 0.5 $ 0.5 $ 0.5 $ 0.3 $ (0.0 ) $ (0.2 ) $ 0.9 $ 1.9 $ 1.8 $ 0.6 Non-GAAP basic EPS (loss per share) $ 0.01 $ 0.06 $ 0.02 $ 0.04 $ 0.04 $ 0.04 $ 0.03 $ 0.02 $ (0.00 ) $ (0.01 ) $ 0.06 $ 0.13 $ 0.13 $ 0.05 Non-GAAP diluted EPS (loss per share) $ 0.01 $ 0.06 $ 0.02 $ 0.04 $ 0.04 $ 0.04 $ 0.03 $ 0.02 $ (0.00 ) $ (0.01 ) $ 0.06 $ 0.13 $ 0.13 $ 0.05 Weighted average shares used to compute Non-GAAP basic earnings per share 14.3 14.1 14.0 13.9 14.0 14.1 14.2 14.1 14.1 13.9 13.7 14.1 14.1 13.8 Weighted average shares used to compute Non-GAAP diluted earnings per share 14.3 14.3 14.0 13.9 14.0 14.1 14.5 14.5 14.1 13.9 13.9 14.1 14.1 13.8 *numbers may not add due to rounding Free Cash Flow Calculation Q123 Q223 Q323 Q423 Q124 Q224 Q324 Q424 Q125 Q225 Q325 FY23 FY24 YTD FY25 Cash Flow from Operations $ 1.1 $ 0.0 $ 1.6 $ 0.4 $ 1.3 $ 1.6 $ 2.3 $ 0.7 $ 1.2 $ 0.7 $ 0.9 $ 3.2 $ 5.9 $ 2.7 Capital Expenditures $ 0.3 $ 0.4 $ 0.4 $ 0.3 $ 0.4 $ 0.4 $ 0.2 $ 0.2 $ 0.2 $ 0.1 $ 0.1 $ 1.5 $ 1.2 $ 0.4 Free Cash Flow $ 0.7 $ (0.3 ) $ 1.2 $ 0.1 $ 0.8 $ 1.2 $ 2.1 $ 0.5 $ 1.0 $ 0.6 $ 0.8 $ 1.7 $ 4.7 $ 2.4 SOURCE: Zedge, Inc. 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Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks
Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks

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  • Yahoo

Striim Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks

PALO ALTO, Calif., June 12, 2025 (GLOBE NEWSWIRE) -- Applications in the AI era depend on real-time data, but data ingestion and integration from legacy architectures often hold them back. Traditional ETL pipelines introduce latency, complexity, and stale intelligence, limiting the effectiveness of LLM-driven applications and Retrieval-Augmented Generation (RAG). For enterprises building on the Postgres stack, bridging that gap between operational data and real-time AI is critical. Open-source Postgres is widely deployed as the back-end database by developers to address operational requirements. Neon builds on this foundation with a new paradigm for the creation of databases by AI agents. Most recently, Databricks announced Lakebase, based on its acquisition of Neon—a fully managed Postgres database that is a popular choice to build AI Applications on. Now, Striim is excited to announce that it is expanding its Postgres offerings with high-throughput ingestion from Neon into Databricks for real-time analytics, as well as high-speed data delivery from legacy systems into Neon for platform and data modernization. Striim's unified platform further allows vector embeddings to be built within the data pipeline while delivering real-time data into Neon and into Databricks for building Agentic AI use cases. Using Striim, developers can seamlessly migrate, integrate, or replicate transactional and event data along with in-flight vector embeddings, enriched context, and cleansed high-quality data from multiple operational stores into Neon. This modern integration allows modern agentic applications to be rapidly built with Neon as the transactional backend. With this added capability, organizations can: Seamlessly replicate operational data in real-time from traditional systems like Oracle, PostgreSQL, MySQL, SQL Server, and hundreds of other sources to Neon, with zero downtime and automated schema evolution. Enable real-time ingestion and Change Data Capture (CDC) from Neon into Databricks, ensuring AI models and analytics workloads always operate on fresh data. Fuel Retrieval-Augmented Generation (RAG) and generative AI use cases natively within Neon or Databricks with inline data enrichment and vector embeddings. Stream event data from Apache Kafka into Neon in real time, eliminating the need for brittle batch-based integrations. Maintain end-to-end data governance with in-flight AI-driven PII detection and resolution, encryption, and support for customer-managed keys. "By extending our platform to support Neon and Databricks, we're giving Postgres-native teams the tools to build real-time, AI-native architectures without rethinking their stack,' said Alok Pareek, co-founder and Executive Vice President of Engineering and Products at Striim. 'Our mission is to help customers modernize from legacy platforms and legacy ETL to real-time agent-incorporated intelligence—and Striim's Vector Agent and Neon CDC and delivery capabilities bring us one step closer to that future.' This expansion builds on Striim's momentum with Databricks, following the support for Databricks Delta Lake with open Delta table formats, and the launch of SQL2Fabric-X, which unlocks real-time SQL Server data for both Microsoft Fabric and Azure Databricks. With Neon now part of the Striim ecosystem, Postgres users can join this wave of modernization: streaming operational data to fuel AI and analytics without sacrificing performance or reliability. To learn more about Striim's support for Neon and Databricks, visit or contact our team at sales@ ABOUT STRIIM, INC. Striim pioneers real-time intelligence for AI by unifying data across clouds, applications, and databases via a fully managed, SaaS-based platform. Striim's platform, optimized for modern cloud data warehouses, transforms relational and unstructured data into AI-ready insights instantly with advanced analytics and ML frameworks, enabling swift business action. Striim leverages its expertise in real-time data integration, streaming analytics, and database replication, including industry-leading Oracle, PostgreSQL, MongoDB CDC technology, to achieve sub-second latency in processing over 100 billion daily events for ML analytics and proactive decision-making. To learn more, visit Media Contact: Dianna Spring, Vice President of Marketing at StriimPhone: (650) 241-0680 ext. 354Email: press@ Source: Striim, in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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