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DBMS > GigaSpaces vs. HarperDB vs. OrigoDB vs. TigerGraph

System Properties Comparison GigaSpaces vs. HarperDB vs. OrigoDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonHarperDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsUltra-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 fully ACID in-memory object graph databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeDocument store
Object oriented DBMS
Graph DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.gigaspaces.comwww.harperdb.ioorigodb.comwww.tigergraph.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.harperdb.io/­docsorigodb.com/­docsdocs.tigergraph.com
DeveloperGigaspaces TechnologiesHarperDBRobert Friberg et al
Initial release200020172009 infounder the name LiveDB2017
Current release15.5, September 20203.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial infofree community edition availableOpen Sourcecommercial
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 languageJava, C++, .NetNode.jsC#C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Linux
Windows
Linux
Data schemeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesUser defined using .NET types and collectionsyes
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 infoXML can be used for describing objects metadatanono infocan be achieved using .NETno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like data manipulation statementsnoSQL-like query language (GSQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
HTTP API
LINQ
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
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
.NetC++
Java
Server-side scripts infoStored proceduresyesCustom Functions infosince release 3.1yesyes
Triggersyes, event driven architecturenoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesRole based authorizationRole-based access control

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More resources
GigaSpacesHarperDBOrigoDBTigerGraph
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