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DBMS > AnzoGraph DB vs. GBase vs. Ignite vs. TDengine

System Properties Comparison AnzoGraph DB vs. GBase vs. Ignite vs. TDengine

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Time Series DBMS and big data platform
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.gbase.cnignite.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmapacheignite.readme.io/­docsdocs.tdengine.com
DeveloperCambridge SemanticsGeneral Data Technology Co., Ltd.Apache Software FoundationTDEngine, previously Taos Data
Initial release2018200420152019
Current release2.3, January 2021GBase 8a, GBase 8s, GBase 8cApache Ignite 2.63.0, August 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++, Java, .NetC
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.Standard with numerous extensionsANSI-99 for query and DML statements, subset of DDLStandard SQL with extensions for time-series applications
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
C#C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyes (compute grid and cache interceptors can be used instead)no
Triggersnoyesyes (cache interceptors and events)yes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryesyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesyesSecurity Hooks for custom implementationsyes
More information provided by the system vendor
AnzoGraph DBGBaseIgniteTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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AnzoGraph DBGBaseIgniteTDengine
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