The new All-in-One Database in the making
A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Full SQL and DML capabilities along with Java stored procedures for advanced data processing. - GitHub - blobcity/db: A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Fu
The new All-in-One Database in the making launched on November 17, 2018 with 9 votes, #942 of 2,709 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 7 years on.
What it does
A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Full SQL and DML capabilities along with Java stored procedures for advanced data processing. - GitHub - blobcity/db: A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Full SQL and DML capabilities along with Java stored procedures for advanced data processing.
Does a similar job
all alternatives →
BlobCity DB2019 · github.com · ▲37A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Full SQL and DML capabilities along with Java stored procedures for advanced data processing. - GitHub - blobcity/db: A blazing fast ACID compliant NoSQL DataLake with support for storing 17 formats of data. Fu
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SleekDB is a simple flat file NoSQL like database implemented in PHP without any third-party dependencies that store data in plain JSON files.
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We're thrilled to unveil EloqKV, a lightning-fast distributed key-value store with a Redis-compatible API. Built on a new database architecture called the Data Substrate, EloqKV brings significant innovations to database design. Here’s the unique features that makes it stand out: - Flexible Deployment: Run it as a single-node in-memory KV cache, a larger-than-memory database or scale to a highly available, distributed transactional database with ease. - High Performance: Achieves performance levels comparable to top in-memory databases like Redis and DragonflyDB, while significantly…
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