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DBMS > Heroic vs. Sphinx vs. Splice Machine vs. Tigris vs. VelocityDB

System Properties Comparison Heroic vs. Sphinx vs. Splice Machine vs. Tigris vs. VelocityDB

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonTigris  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSSearch engineRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­spotify/­heroicsphinxsearch.comsplicemachine.comwww.tigrisdata.comvelocitydb.com
Technical documentationspotify.github.io/­heroicsphinxsearch.com/­docssplicemachine.com/­how-it-workswww.tigrisdata.com/­docsvelocitydb.com/­UserGuide
DeveloperSpotifySphinx Technologies Inc.Splice MachineTigris Data, Inc.VelocityDB Inc
Initial release20142001201420222011
Current release3.5.1, February 20233.1, March 20217.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC#
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Any that supports .NET
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infovia Elasticsearchyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yesnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
CLI Client
gRPC
RESTful HTTP API
.Net
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Go
Java
JavaScript (Node.js)
.Net
Server-side scripts infoStored proceduresnonoyes infoJavanono
TriggersnonoyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesBased on Windows Authentication

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More resources
HeroicSphinxSplice MachineTigrisVelocityDB
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