RocksDB

RocksDB

RocksDB serves as an embeddable persistent key-value store designed for high-performance storage solutions. Utilizing a log-structured database engine crafted in C++, it efficiently manages arbitrarily-sized byte streams. Optimized for low latency on flash drives and high-speed disks, RocksDB adapts seamlessly to various workloads, supporting both basic and advanced database operations.

Top RocksDB Alternatives

1

HSQLDB (Hyper SQL Database)

HSQLDB (HyperSQL Database) is a robust, Java-based relational database system known for its high performance and versatility.

2

Datomic

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3

ScyllaDB

Designed for data-intensive applications, ScyllaDB delivers high throughput with predictable single-digit millisecond latencies.

4

eXistdb

An all-in-one solution for application building, eXist-db is an open-source database software that excels in managing XML data.

5

H2 Database Engine

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6

MySQL Migration Toolkit

MySQL Migration Toolkit facilitates the conversion of data to and from MySQL with exceptional efficiency, eliminating the need for ODBC or middleware.

7

Database Oasis

With an intuitive point-and-click interface, users can effortlessly define the data they wish to store...

8

BaseX

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9

NoSQL Manager For MongoDB

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10

Druid

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11

HyperGraphDB

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12

Redis Desktop Manager

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13

VelocityDB

It allows developers to persist data efficiently, choosing optimal structures for their applications...

14

Clustrix

It efficiently compresses data, optimizes partitioning for performance, and leverages multi-threading for complex queries...

15

Active Query Builder

Its flexible, intuitive interface streamlines complex data retrieval, making it ideal for both novice and...

Top RocksDB Features

  • Embeddable key-value store
  • High performance C++ engine
  • Low latency optimization
  • Supports arbitrary byte streams
  • Extensive workload adaptability
  • Fast read/write rates
  • Advanced merging operations
  • Compaction filters support
  • Ideal for flash storage
  • Efficient RAM utilization
  • Database storage engine support
  • Application data caching
  • Lightweight and efficient
  • Customizable storage configurations
  • Seamless integration capabilities
  • High-speed disk drive compatibility
  • Persistence with low overhead
  • Flexible API for operations
  • Suitable for embedded systems
  • Robust data handling features