DBMS > Badger vs. RocksDB vs. TerminusDB vs. Transwarp Hippo

System Properties Comparison Badger vs. RocksDB vs. TerminusDB vs. Transwarp Hippo

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Editorial information provided by DB-Engines

Name

Description

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Key-value store

Graph DBMS

Vector DBMS

Secondary database models

Document store
RDF store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.14
Rank	#331	Overall
	#49	Key-value stores

Score	3.65
Rank	#85	Overall
	#11	Key-value stores

Score	0.17
Rank	#325	Overall
	#29	Graph DBMS

Score	0.00
Rank	#383	Overall
	#13	Vector DBMS

Website

github.com/dgraph-io/badger

rocksdb.org

terminusdb.com

www.transwarp.cn/en/subproduct/hippo

Technical documentation

godoc.org/github.com/dgraph-io/badger

github.com/facebook/rocksdb/wiki

terminusdb.github.io/terminusdb/#

Developer

DGraph Labs

Facebook, Inc.

DataChemist Ltd.

Initial release

2017

2013

2018

2023

Current release

8.11.4, April 2024

11.0.0, January 2023

1.0, May 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

BSD

Open Source

GPL V3

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Prolog, Rust

C++

Server operating systems

BSD
Linux
OS X
Solaris
Windows

Linux

Linux
macOS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

SQL-like query language (WOQL)

APIs and other access methods

C++ API
Java API

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

RESTful HTTP API

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

JavaScript
Python

C++
Java
Python

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Graph Partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Journaling Streams

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Role-based access control

Role based access control and fine grained access rights

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