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DBMS > Sphinx vs. SQream DB vs. Stardog vs. VoltDB

System Properties Comparison Sphinx vs. SQream DB vs. Stardog vs. VoltDB

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonSQream DB  Xexclude from comparisonStardog  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloadsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelSearch engineRelational DBMSGraph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.95
Rank#55  Overall
#5  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitesphinxsearch.comsqream.comwww.stardog.comwww.voltdb.com
Technical documentationsphinxsearch.com/­docsdocs.sqream.comdocs.stardog.comdocs.voltdb.com
DeveloperSphinx Technologies Inc.SQream TechnologiesStardog-UnionVoltDB Inc.
Initial release2001201720102010
Current release3.5.1, February 20232022.1.6, December 20227.3.0, May 202011.3, April 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, CUDA, Haskell, Java, ScalaJavaJava, C++
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxLinux
macOS
Windows
Linux
OS X infofor development
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyes
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 infoImport/export of XML data possible
Secondary indexesyes infofull-text index on all search fieldsnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)yesYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoonly a subset of SQL 99
APIs and other access methodsProprietary protocol.Net
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions in Pythonuser defined functions and aggregates, HTTP Server extensions in JavaJava
Triggersnonoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users and rolesUsers and roles with access to stored procedures

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More resources
SphinxSQream DBStardogVoltDB
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