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DBMS > Sphinx vs. Splice Machine vs. Teradata Aster

System Properties Comparison Sphinx vs. Splice Machine vs. Teradata Aster

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS powered by Spark and HadoopPlatform for big data analytics on multistructured data sources and types
Primary database modelSearch engineRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.04
Rank#49  Overall
#5  Search engines
Score0.72
Rank#178  Overall
#89  Relational DBMS
Websitesphinxsearch.comwww.splicemachine.com
Technical documentationsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperSphinx Technologies Inc.John LeachTeradata
Initial release200120142005
Current release3.1.1, October 20182.0
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoextended commercial Enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.yes infoin Aster File Store
Secondary indexesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)yesyes
APIs and other access methodsProprietary protocolJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
JRuby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoJavaR packages
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication
Master-slave replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infouses HBase insteadyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes 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.yesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
SphinxSplice MachineTeradata Aster
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