Actian NoSQL Alternatives (January 2026)

Our NoSQL Object Database manages data without the need for mapping code to store & retrieve objects in Java & C++ applications.

4.3/5

2+ reviews

Reviewed on:

G2
1.
eXtremeDB Database Management System for Professional Developers - McObject LLC
https://www.mcobjec
.com/

Small, fast, reliable database management system Persistent and/or in-memory data storage for edge-cloud, powerful for professional developers

2.
ObjectBox, the edge vector database
https://www.objectbo
.io/

High-speed & lightweight database solution which securly stores your data privatly on-device and syncs it seamless to millions of devices

3.
Oracle Berkeley DB
https://www.oracl
.com/database/technologies/related/berkeleydb.html/

The Oracle Berkeley DB family of open source, embeddable databases provides developers with fast, reliable, local persistence with zero administration. Often deployed as an 'edge' database, Oracle Berkeley DB provides very high performance, reliability, scalability, and availability for application use cases that do not require SQL

4.
VelocityDB
https://velocityd
.com/

VelocityDB is an easy to use, extremely high performance, scalable, embeddable and distributable object database system with indexes for C# .NET applications with a small footprint (~ 600KB).

5.
ScyllaDB | Monstrously Fast + Scalable NoSQL
https://www.scyllad
.com/

ScyllaDB is the distributed database for data-intensive apps that require high performance and low latency.

6.
7.
NoSQL Database | Oracle
https://www.oracl
.com/database/nosql/

NoSQL Database can be run in the cloud or on-premises for applications that require either flexible data models, workloads, demanding predictable, lighting fast access to data or easy to use APIs.

8.
RocksDB | A persistent key-value store | RocksDB
http://rocksd
.org/

RocksDB is an embeddable persistent key-value store for fast storage.

9.
ArangoDB: Multi-Model Database for Your Modern Apps
https://www.arangod
.com/

ArangoDB is the leading multi-model database for high-performance applications. Try it now for flexible data modeling and efficient querying.