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DBMS > AnzoGraph DB vs. Riak TS vs. Sphinx vs. Splice Machine vs. SQream DB

System Properties Comparison AnzoGraph DB vs. Riak TS vs. Sphinx vs. Splice Machine vs. SQream DB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonRiak TS  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen 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 GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Time Series DBMSSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitecambridgesemantics.com/­anzographsphinxsearch.comsplicemachine.comsqream.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.tiot.jp/­riak-docs/­riak/­ts/­latestsphinxsearch.com/­docssplicemachine.com/­how-it-worksdocs.sqream.com
DeveloperCambridge SemanticsOpen Source, formerly Basho TechnologiesSphinx Technologies Inc.Splice MachineSQream Technologies
Initial release20182015200120142017
Current release2.3, January 20213.0.0, September 20223.5.1, February 20233.1, March 20212022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesnorestrictedyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes, limitedSQL-like query language (SphinxQL)yesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP API
Native Erlang Interface
Proprietary protocolJDBC
Native Spark Datasource
ODBC
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesErlangnoyes infoJavauser defined functions in Python
Triggersnoyes infopre-commit hooks and post-commit hooksnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factornoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infolinks between datasets can be storednoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
AnzoGraph DBRiak TSSphinxSplice MachineSQream DB
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