MongoDB said its MongoDB 8.0 is generally available with throughput optimizations and efficiency enhancements.
At its MongoDB.local London event, MongoDB 8.0 went to GA along with other enhancements to the company's Atlas platform. MongoDB 8.0 is available on AWS, Google Cloud and Microsoft Azure through MongoDB Atlas, MongoDB Enterprise Advanced for on-premises users and MongoDB Community Addition.
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MongoDB has a popular document database that is being used in generative AI applications looking to tap into unstructured data. MongoDB said its latest database has more than 45 architecture enhancements. Here is a rundown of what MongoDB announced:
- MongoDB 8.0 improves throughput by 32% to query and transform data and reduced memory usage. The database has sped up bulk writes by 56% and concurrent writes during data duplication by 20%. With high volumes of time series data and complex aggregations, MongoDB 8.0 can run 200% faster with lower costs.
- Sharding improvements in MongoDB 8.0 mean it can distribute data up to 50 times faster at 50% lower costs.
- Better controls to optimize performance for high demand and spikes in usage. MongoDB enables customers to set a default maximum time limit for running queries, reject recurring problem queries and run through events like restarts in peak demand.
- MongoDB Queryable Encryption to allow customers to encrypt sensitive application data, store it as randomized encrypted data and run queries on encrypted data for processing without cryptography expertise. Data will remain encrypted until it reaches an authorized user with a decryption key.
- The company enhanced MongoDB Atlas' control plane to scale cluster faster and optimize performance. Atlas customers will see up to 50% quicker scaling times. Auto-scaling will also see 5x improvements.
- A private preview for MongoDB for IntelliJ Plugin, which is a popular developer environment for Java.
- The company announced a public preview for MongoDB Participant for GitHub Copilot, which integrates AI tools in a chat experience in the MongoDB Extension for VS Code.
- MongoDB added support in MongoDB and Ops Manager for multiple Kubernetes clusters. Customers can deploy ReplicaSets, Sharded Clusters and Ops Manager across local or distributed Kubernetes clusters.
- MongoDB Atlas Search and Vector Search are generally available via Atlas CLI and Docker. MongoDB also announced vector quantization for Atlas Vector Search. The move reduces memory by up to 96%.
- Integration between MongoDB and large language model frameworks such as LangChain, LlamaIndex, Microsoft Semantic Kernel, AutoGen, Haystack, Spring AI and ChatGPT Retrieval Plugin.
