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DBMS > Bangdb vs. Datomic vs. Sphinx vs. TerminusDB

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOpen source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitebangdb.comwww.datomic.comsphinxsearch.comterminusdb.com
Technical documentationdocs.bangdb.comdocs.datomic.comsphinxsearch.com/­docsterminusdb.github.io/­terminusdb/­#
DeveloperSachin Sinha, BangDBCognitectSphinx Technologies Inc.DataChemist Ltd.
Initial release2012201220012018
Current releaseBangDB 2.0, October 20211.0.7075, December 20233.5.1, February 202311.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infolimited edition freeOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ClojureC++Prolog, Rust
Server operating systemsLinuxAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIProprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes
Triggersyes, Notifications (with Streaming only)By using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes inforecommended only for testing and development
User concepts infoAccess controlyes (enterprise version only)nonoRole-based access control

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More resources
BangdbDatomicSphinxTerminusDB infoformer name was DataChemist
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