DBMS > Datomic vs. Sphinx vs. STSdb vs. TerminusDB

System Properties Comparison Datomic vs. Sphinx vs. STSdb vs. TerminusDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Datomic  Xexclude from comparison	Sphinx  Xexclude from comparison	STSdb  Xexclude from comparison	TerminusDB former name was DataChemist  Xexclude from comparison
Description	Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability	Open source search engine for searching in data from different sources, e.g. relational databases	Key-Value Store with special method for indexing optimized for high performance using a special indexing method	Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database model	Relational DBMS	Search engine	Key-value store	Graph DBMS
Secondary database models				Document store RDF store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 1.73 Rank #135   Overall #67   Relational DBMS	Score 7.23 Rank #61   Overall #8   Search engines	Score 0.01 Rank #359   Overall #56   Key-value stores	Score 0.12 Rank #309   Overall #28   Graph DBMS
Website	www.datomic.com	sphinxsearch.com	github.com/­STSSoft/­STSdb4	terminusdb.com
Technical documentation	docs.datomic.com	sphinxsearch.com/­docs		terminusdb.github.io/­terminusdb/­#
Developer	Cognitect	Sphinx Technologies Inc.	STS Soft SC	DataChemist Ltd.
Initial release	2012	2001	2011	2018
Current release	1.0.6362, January 2022	3.4.1, July 2021	4.0.8, September 2015	10.0.21, March 2022
License Commercial or Open Source	commercial limited edition free	Open Source GPL version 2, commercial licence available	Open Source GPLv2, commercial license available	Open Source GPL V3
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java, Clojure	C++	C#	Prolog, Rust
Server operating systems	All OS with a Java VM	FreeBSD Linux NetBSD OS X Solaris Windows	Windows	Linux
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	no	yes primitive types and user defined types (classes)	yes
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.	no			no
Secondary indexes	yes	yes full-text index on all search fields	no
SQL Support of SQL	no	SQL-like query language (SphinxQL)	no	SQL-like query language (WOQL)
APIs and other access methods	RESTful HTTP API	Proprietary protocol	.NET Client API	OWL RESTful HTTP API WOQL (Web Object Query Language)
Supported programming languages	Clojure Java	C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library	C# Java	JavaScript Python
Server-side scripts Stored procedures	yes Transaction Functions	no	no	yes
Triggers	By using transaction functions	no	no	yes
Partitioning methods Methods for storing different data on different nodes	none But extensive use of caching in the application peers	Sharding Partitioning is done manually, search queries against distributed index is supported	none	Graph Partitioning
Replication methods Methods for redundantly storing data on multiple nodes	none But extensive use of caching in the application peers	none	none	Journaling Streams
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes	yes
Durability Support for making data persistent	yes using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)	yes The original contents of fields are not stored in the Sphinx index.	yes	yes in-memory journaling
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	yes recommended only for testing and development
User concepts Access control	no	no	no	Role-based access control
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Datomic	Sphinx	STSdb	TerminusDB former name was DataChemist
DB-Engines blog posts