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DBMS > HBase vs. Hive vs. Microsoft Azure Table Storage vs. TigerGraph vs. TimescaleDB

System Properties Comparison HBase vs. Hive vs. Microsoft Azure Table Storage vs. TigerGraph vs. TimescaleDB

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTabledata warehouse software for querying and managing large distributed datasets, built on HadoopA Wide Column Store for rapid development using massive semi-structured datasetsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeRelational DBMSWide column storeGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitehbase.apache.orghive.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigergraph.comwww.timescale.com
Technical documentationhbase.apache.org/­book.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.tigergraph.comdocs.timescale.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation infoinitially developed by FacebookMicrosoftTimescale
Initial release20082012201220172017
Current release2.3.4, January 20213.1.3, April 20222.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C
Server operating systemsLinux
Unix
Windows infousing Cygwin
All OS with a Java VMhostedLinuxLinux
OS X
Windows
Data schemeschema-free, schema definition possibleyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (GSQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Thrift
RESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infouser defined functions and integration of map-reducenoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and rolesAccess rights based on private key authentication or shared access signaturesRole-based access controlfine grained access rights according to SQL-standard

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More resources
HBaseHiveMicrosoft Azure Table StorageTigerGraphTimescaleDB
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