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DBMS > GridGain vs. HarperDB vs. Microsoft Azure Table Storage vs. TigerGraph vs. TinkerGraph

System Properties Comparison GridGain vs. HarperDB vs. Microsoft Azure Table Storage vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A 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 lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Document storeWide column storeGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.gridgain.comwww.harperdb.ioazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.harperdb.io/­docsdocs.tigergraph.com
DeveloperGridGain Systems, Inc.HarperDBMicrosoft
Initial release20072017201220172009
Current releaseGridGain 8.5.13.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetNode.jsC++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
hostedLinux
Data schemeyesdynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.yesnononono
Secondary indexesyesyesnono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like data manipulation statementsnoSQL-like query language (GSQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
RESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Custom Functions infosince release 3.1noyesno
Triggersyes (cache interceptors and events)nononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infothe nodes on which a table resides can be definedyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsoptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyes, using LMDByesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesAccess rights based on private key authentication or shared access signaturesRole-based access controlno

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More resources
GridGainHarperDBMicrosoft Azure Table StorageTigerGraphTinkerGraph
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