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DBMS > Sphinx vs. Splice Machine vs. TinkerGraph

System Properties Comparison Sphinx vs. Splice Machine vs. TinkerGraph

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionOpen 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 lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engineRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.56
Rank#57  Overall
#6  Search engines
Score0.74
Rank#196  Overall
#99  Relational DBMS
Score0.13
Rank#293  Overall
#26  Graph DBMS
Websitesphinxsearch.comsplicemachine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperSphinx Technologies Inc.Splice Machine
Initial release200120142009
Current release3.3.1 , July 20202.0
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyes
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.no
Secondary indexesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLSQL-like query language (SphinxQL)yesno
APIs and other access methodsProprietary protocolJDBC
Native Spark Datasource
ODBC
TinkerPop 3
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
Groovy
Java
Server-side scripts infoStored proceduresnoyes infoJavano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
SphinxSplice MachineTinkerGraph
Specific characteristicsTHE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesOperational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosNew AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Licensing and pricing modelsKubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
News

Why We Started a Podcast
25 February 2021

Machine Learning Isn’t Models, It’s Features
12 February 2021

Go Hands-On with Splice Machine’s Feature Store
12 February 2021

Three Ways to Talk Machine Learning with Splice Machine in January
6 January 2021

How To Get Real-Time Analytics By Consolidating Databases
21 May 2020

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More resources
SphinxSplice MachineTinkerGraph
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