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DBMS > HarperDB vs. Sphinx vs. Splice Machine

System Properties Comparison HarperDB vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA DBMS for IoT projects, analytical and transactional use cases , runnable on IoT devices and in the cloud, in distributed and replicated environmentsOpen 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 Spark
Primary database modelDocument storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#262  Overall
#35  Document stores
Score6.45
Rank#57  Overall
#6  Search engines
Score0.76
Rank#185  Overall
#93  Relational DBMS
Websitewww.harperdb.iosphinxsearch.comsplicemachine.com
Technical documentationdocs.harperdb.iosphinxsearch.com/­docsdoc.splicemachine.com
DeveloperHarperDBSphinx Technologies Inc.Splice Machine
Initial release201720012014
Current release3.2.1, January 20202.0
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
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 languageNode.jsC++Java
Server operating systemsLinux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemedynamic schemayesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesnoyes
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 indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like data manipulation statementsSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
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
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definednoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, using LMDByes infoThe original contents of fields are not stored in the Sphinx index.yes
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 rolesnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HarperDBSphinxSplice Machine
Specific characteristicsSplice Machine is the open-source dual-engine RDBMS, powered by Hadoop and Spark....
» more
Competitive advantages
» more
Typical application scenariosMachine Learning, High Volume Financial Transaction processing, Internet of Things...
» more
Licensing and pricing modelsFree Open Source as well as Enterprise model available. See http://www.splicemachine.com/product/pricing...
» more
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