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

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

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonBadger  Xexclude from comparisonHypertable  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 embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An open source BigTable implementation based on distributed file systems such as HadoopScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSKey-value storeWide column 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
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitepinot.apache.orggithub.com/­dgraph-io/­badgerterminusdb.com
Technical documentationdocs.pinot.apache.orggodoc.org/­github.com/­dgraph-io/­badgerterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation and contributorsDGraph LabsHypertable Inc.DataChemist Ltd.
Initial release2015201720092018
Current release1.0.0, September 20230.9.8.11, March 201611.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++Prolog, Rust
Server operating systemsAll OS with a Java JDK11 or higherBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
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.nono
Secondary indexesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (WOQL)
APIs and other access methodsJDBCC++ API
Thrift
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
Python
GoC++
Java
Perl
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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 persistentyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnonoRole-based access control

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More resources
Apache PinotBadgerHypertableTerminusDB infoformer name was DataChemist
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