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DBMS > AgensGraph vs. GigaSpaces vs. Google Cloud Datastore vs. H2 vs. Warp 10

System Properties Comparison AgensGraph vs. GigaSpaces vs. Google Cloud Datastore vs. H2 vs. Warp 10

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonH2  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
Relational DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitebitnine.net/­agensgraphwww.gigaspaces.comcloud.google.com/­datastorewww.h2database.comwww.warp10.io
Technical documentationbitnine.net/­documentationdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­datastore/­docswww.h2database.com/­html/­main.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperBitnine Global Inc.Gigaspaces TechnologiesGoogleThomas MuellerSenX
Initial release20162000200820052015
Current release2.1, December 201815.5, September 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache License 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 languageCJava, C++, .NetJavaJava
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
hostedAll OS with a Java VMLinux
OS X
Windows
Data schemedepending on used data modelschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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 infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesSQL-99 for query and DML statementsSQL-like query language (GQL)yesno
APIs and other access methodsCypher Query Language
JDBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesC
Java
JavaScript
Python
.Net
C++
Java
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Server-side scripts infoStored proceduresyesyesusing Google App EngineJava Stored Procedures and User-Defined Functionsyes infoWarpScript
Triggersnoyes, event driven architectureCallbacks using the Google Apps Engineyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication using PaxosWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.noyesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AgensGraphGigaSpacesGoogle Cloud DatastoreH2Warp 10
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