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DBMS > AnzoGraph DB vs. GigaSpaces vs. Tibero vs. VelocityDB vs. Warp 10

System Properties Comparison AnzoGraph DB vs. GigaSpaces vs. Tibero vs. VelocityDB vs. Warp 10

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTibero  Xexclude from comparisonVelocityDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA secure RDBMS, designed for easy portability from OracleA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSGraph DBMS
Object oriented DBMS
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.gigaspaces.comus.tmaxsoft.com/­products/­tiberovelocitydb.comwww.warp10.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.gigaspaces.com/­latest/­landing.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.htmlvelocitydb.com/­UserGuidewww.warp10.io/­content/­02_Getting_started
DeveloperCambridge SemanticsGigaspaces TechnologiesTmaxSoftVelocityDB IncSenX
Initial release20182000200320112015
Current release2.3, January 202115.5, September 20206, April 20157.x
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and AssemblerC#Java
Server operating systemsLinuxLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Any that supports .NETLinux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 metadatayesnono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-99 for query and DML statementsyesnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
.NetHTTP API
Jupyter
WebSocket
Supported programming languagesC++
Java
Python
.Net
C++
Java
Python
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesPersistent Stored Procedure (PSM)noyes infoWarpScript
Triggersnoyes, event driven architectureyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infoby range, hash, list or compositeShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
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.yesyesno infoplanned for next versionyesyes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlfine grained access rights according to SQL-standard (SQL 92, SQL 99)Based on Windows AuthenticationMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AnzoGraph DBGigaSpacesTiberoVelocityDBWarp 10
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