Milvus 2.6: Built for Scale, Designed to Reduce Costs
"I've long been passionate about democratizing AI by making the underlying technologies more accessible and affordable for everyone," said Charles Xie, CEO at Zilliz. "For over a year, I've emphasized that cost reduction is critical for widespread AI adoption. As data volumes continue to grow exponentially, organizations require vector database solutions that can scale efficiently while maintaining cost control. Milvus 2.6 furthers our commitment to this vision with innovations that streamline infrastructure requirements and optimize resource utilization—all while maintaining the high performance our users expect."
Continuing Our Mission: Cost Reduction Across Multiple Dimensions
Monetary Savings: Lower Infrastructure & Storage Bills
Milvus 2.6 introduces several innovations that directly reduce infrastructure costs:
Tiered Storage with Hot/Cold Data Separation: Automatically moves frequently accessed vectors to high-performance storage while relegating less-used data to more economical options—reducing storage costs without compromising retrieval performance. Works seamlessly with leading storage providers including Cohesity, Pure Storage, MinIO, and NetApp.
Int8 Vector Compression for HNSW Indexes: Stores dense vectors using 8-bit integers, substantially reducing memory requirements while maintaining search accuracy.
RabitQ 1-bit Quantization: Pushes quantization to an extreme to achieve comparable retrieval quality with only half memory cost.
New Write-Ahead Log (WAL) with Woodpecker: Eliminates the need for external message queues like Kafka or Pulsar, featuring a diskless architecture that reduces infrastructure costs while improving write performance.
Organizations migrating from OpenSearch to Milvus have reported up to 8x cost reductions while maintaining or improving performance for vector search workloads.
Operational Efficiencies: Less Infrastructure to Manage
Milvus 2.6 simplifies operations with its innovative diskless architecture:
Streaming Node: A new dedicated component for real-time data ingestion built directly into the platform—eliminating the need for the costly external message queues on the write path.
CDC + BulkInsert: Combines Change Data Capture (CDC) with bulk data ingestion feature, simplifying data replication across instances in different geolocation.
Storage v2 Format: Optimized for performance and future compatibility with data processing frameworks like Apache Spark.
APT/YUM Deployment: Native package support simplifies installation and upgrades, reducing operational overhead.
Developer Time: More Built-In Tools, Less Plumbing
Milvus 2.6 boosts developer productivity with:
Data-In, Data-Out: Enables direct ingestion of raw content (text, images, audio) with built-in inference capabilities—eliminating separate pre-processing pipelines.
Custom Reranker: Allows developers to apply custom scoring logic using scalar fields and user-defined functions.
Text & JSON Search: Native support for advanced text processing capabilities including:
Advanced tokenization for Asian languages (Japanese/Korean)
JSON path/flat/key indexing
Match & phrase queries
Sampling + Aggregation Queries: Built-in analytics tools for fast iteration during development.
Open Source & Trusted by Developers
Milvus is fully open source with permissive licensing (Apache 2.0) and developer-friendly architecture. With no black boxes, organizations can contribute, audit, and customize as needed—ensuring transparency and flexibility.
Already a Leader in Vector Search
Milvus has established itself as one of the most widely adopted vector databases in the world, powering AI applications at scale for more than 10,000 organizations worldwide across a wide range of use cases.
"The integration between Milvus 2.6 and MinIO creates a powerful solution for AI workloads requiring both performance and cost efficiency," said Anand Babu Periasamy, CEO and co-founder of MinIO. "By enabling data to be written directly to MinIO instead of using Kafka and supporting hot/cold tiered storage strategies, Milvus 2.6 users can achieve significant infrastructure simplification while maintaining performance for their vector search applications."
For more information on Milvus 2.6 and its groundbreaking features, visit the Milvus website and read our blog post.
About Zilliz
Zilliz is an American SaaS company that builds next-generation vector database technologies, helping organizations unlock the value of unstructured data and rapidly develop AI and machine learning applications. By simplifying complex data infrastructure, Zilliz brings the power of AI within reach for enterprises, teams, and individual developers alike. Zilliz offers a fully managed, multi-cloud vector database service powered by open-source Milvus, supporting major cloud platforms such as AWS, GCP, and Azure, and is available across more than 20 countries and regions.
Headquartered in Redwood Shores, California, Zilliz is backed by leading investors including Aramco's Prosperity7 Ventures, Temasek's Pavilion Capital, Hillhouse Capital, 5Y Capital, Yunqi Partners, Trustbridge Partners, and others.
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" Cerrado also continued to progress both the Lagoa Salgada project and the Mont Sorcier projects towards completion of feasibility studies by Q3/2025 and Q1/2026 respectively, which we believe should demonstrate substantial value being unlocked by Cerrado's development projects." Heap leach upgrades and a 20,000m drill program are in progress to boost recovery and expand resources, while exploration drilling has already intercepted new vein structures. The company is also advancing feasibility work at its Lagoa Salgada and Mont Sorcier projects, with updates expected later this year. CONTACT: Equity Insider [email protected] (604) 999-4849 DISCLAIMER: Nothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. Equity Insider is a wholly-owned subsidiary of Market IQ Media Group, Inc. ("MIQ"). This article is being distributed for Media Corp. ("BAY"), who has been paid a fee by a third-party, Sidis Holdings Limited ("Sidis") for an advertising contract between Sidis and RUA Gold Inc.. MIQ has not been paid a fee for RUA Gold Inc. advertising or digital media, but the owner/operators of MIQ also co-owns Media Corp. ("BAY") There may also be 3rd parties who may have shares of RUA Gold Inc. and may liquidate their shares which could have a negative effect on the price of the stock. 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