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DBMS > H2 vs. HugeGraph vs. Ignite vs. Netezza

System Properties Comparison H2 vs. HugeGraph vs. Ignite vs. Netezza

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Editorial information provided by DB-Engines
NameH2  Xexclude from comparisonHugeGraph  Xexclude from comparisonIgnite  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A fast-speed and highly-scalable Graph DBMSApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSGraph DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitewww.h2database.comgithub.com/­hugegraph
hugegraph.apache.org
ignite.apache.orgwww.ibm.com/­products/­netezza
Technical documentationwww.h2database.com/­html/­main.htmlhugegraph.apache.org/­docsapacheignite.readme.io/­docs
DeveloperThomas MuellerBaiduApache Software FoundationIBM
Initial release2005201820152000
Current release2.2.220, July 20230.9Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java, .Net
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeyesyesyesyes
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.nonoyes
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
Supported programming languagesJavaGroovy
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresJava Stored Procedures and User-Defined Functionsasynchronous Gremlin script jobsyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infodepending on used storage backend, e.g. Cassandra and HBaseyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsSecurity Hooks for custom implementationsUsers with fine-grained authorization concept

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More resources
H2HugeGraphIgniteNetezza infoAlso called PureData System for Analytics by IBM
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