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DBMS > Hypertable vs. Ingres vs. ObjectBox vs. Sphinx vs. Teradata

System Properties Comparison Hypertable vs. Ingres vs. ObjectBox vs. Sphinx vs. Teradata

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIngres  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopWell established RDBMSExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databasesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelWide column storeRelational DBMSObject oriented DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.actian.com/­databases/­ingresobjectbox.iosphinxsearch.comwww.teradata.com
Technical documentationdocs.actian.com/­ingresdocs.objectbox.iosphinxsearch.com/­docsdocs.teradata.com
DeveloperHypertable Inc.Actian CorporationObjectBox LimitedSphinx Technologies Inc.Teradata
Initial release20091974 infooriginally developed at University Berkely in early 1970s201720011984
Current release0.9.8.11, March 201611.2, May 20223.5.1, February 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache License 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC and C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Android
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 infobut tools for importing/exporting data from/to XML-files availablenoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infofull-text index on all search fieldsyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)yes infoSQL 2016 + extensions
APIs and other access methodsC++ API
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary native APIProprietary protocol.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelIngres Replicatoronline/offline synchronization between client and servernoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standard
More information provided by the system vendor
HypertableIngresObjectBoxSphinxTeradata
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