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DBMS > HBase vs. Microsoft Azure Table Storage vs. Pinecone vs. TigerGraph

System Properties Comparison HBase vs. Microsoft Azure Table Storage vs. Pinecone vs. TigerGraph

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPinecone  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsA managed, cloud-native vector databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeWide column storeVector DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitehbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.pinecone.iowww.tigergraph.com
Technical documentationhbase.apache.org/­book.htmldocs.pinecone.io/­docs/­overviewdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftPinecone Systems, Inc
Initial release2008201220192017
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedhostedLinux
Data schemeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesString, Number, Booleanyes
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.nononono
Secondary indexesnono
SQL infoSupport of SQLnononoSQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
RESTful HTTP APIRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
PythonC++
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)optimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 based on private key authentication or shared access signaturesRole-based access control

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More resources
HBaseMicrosoft Azure Table StoragePineconeTigerGraph
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