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DBMS > Apache Pinot vs. Hypertable vs. Memcached vs. TerminusDB

System Properties Comparison Apache Pinot vs. Hypertable vs. Memcached vs. TerminusDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonHypertable  Xexclude from comparisonMemcached  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn open source BigTable implementation based on distributed file systems such as HadoopIn-memory key-value store, originally intended for cachingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSWide column storeKey-value storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitepinot.apache.orgwww.memcached.orgterminusdb.com
Technical documentationdocs.pinot.apache.orggithub.com/­memcached/­memcached/­wikiterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsHypertable Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalDataChemist Ltd.
Initial release2015200920032018
Current release1.0.0, September 20230.9.8.11, March 20161.6.27, May 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoBSD licenseOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CProlog, Rust
Server operating systemsAll OS with a Java JDK11 or higherLinux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
Linux
OS X
Unix
Windows
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (WOQL)
APIs and other access methodsJDBCC++ API
Thrift
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelnone infoRepcached, a Memcached patch, provides this functionallityJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes infoin-memory journaling
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolRole-based access control

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