NoSQL Databases
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6 key features of SingleStore Kai for MongoDB
SingleStore Kai for MongoDB brings real-time analytics to JSON documents by translating MongoDB queries onto SQL statements that are executed on SingleStoreDB. No changes to schema, data, or queries required.
Aerospike’s new Graph database to support both OLAP and OLTP workloads
The new database adds a property graph data model to the existing capabilities of its NoSQL Database and Apache TinkerPop graph compute engine.
DataStax, Google partner to bring vector search to NoSQL AstraDB
The two companies are also partnering to launch an open source project, CassIO, aimed at making Apache Cassandra more compatible with AI and large language model workloads.
Open source FerretDB offers ‘drop-in replacement’ for MongoDB
FerretDB 1.0 is a stateless proxy that converts MongoDB protocol queries to SQL, using PostgreSQL as the database engine.
How InfluxDB revved up for real-time analytics
A new Rust-based database engine, InfluxDB IOx, brings an in-memory columnar store, unlimited cardinality, and SQL language support to the open source time series database, raising the bar for advanced analytics across time series...
Modern data infrastructures don’t do ETL
Business happens in real time but many business systems don’t. It’s time to move past client-server databases, data warehouses, and batch processes.
10 best practices for every MongoDB deployment
From security musts and indexing gotchas to replication and sharding tips, follow these essential dos and don’ts to make the most of your MongoDB database systems.
What’s new in Apache Cassandra 4.1
Cassandra 4.1 makes the distributed database built for internet companies easier to configure and manage for new users, and delivers new storage, network encryption, and authentication options. ACID transactions are on the way.
Next-gen data engines transform metadata performance
New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how.
Optimizing metadata performance for web-scale applications
Data engines such as RocksDB are playing an increasingly important role in preventing metadata-access bottlenecks that may impact the performance of large-scale systems. Here’s what you need to know.
How Aerospike Document Database supports real-time applications
Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges.
Couchbase’s managed Capella database now on Microsoft Azure
Capella, earlier known as Couchbase Cloud, is already available on Amazon Web Services and Google Cloud Platform.
Compactor: A hidden engine of database performance
The compactor handles critical post-ingestion and pre-query workloads in the background on a separate server, enabling low latency for data ingestion and high performance for queries.
Using deduplication for eventually consistent transactions
Deduplication is an effective alternative to transactions for eventually consistent use cases of a distributed database. Here’s why.
TigerGraph Cloud adds graph analytics, machine learning tools
The updated graph database-as-a-service (DBaaS) will come with visual analytics and machine learning tools, made accessible via the TigerGraph Suite.
Neo4j 5.0 improves on scalability, performance, and agility
The fifth version of the leading native graph database has been released with additional features such as an Ops Manager and the ability to continuously provide updates to self-managed users.
DataStax to offer Stargate V2 data API gateway via Astra DB
The new version of the open-source data API gateway comes with a gRPC API that will enable developers to scale Cassandra data limitlessly, the company said.
Apollo GraphQL debuts GraphOS platform for building ‘supergraphs’
GraphOS provides an execution fabric and modular architecture for building, connecting, and scaling large networks of applications, services, and data.