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DBMS > Bangdb vs. Ignite vs. openGauss vs. TigerGraph

System Properties Comparison Bangdb vs. Ignite vs. openGauss vs. TigerGraph

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonIgnite  Xexclude from comparisonopenGauss  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitebangdb.comignite.apache.orggitee.com/­opengauss
opengauss.org
www.tigergraph.com
Technical documentationdocs.bangdb.comapacheignite.readme.io/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.tigergraph.com
DeveloperSachin Sinha, BangDBApache Software FoundationHuawei and openGauss community
Initial release2012201520192017
Current releaseBangDB 2.0, October 2021Apache Ignite 2.63.0, March 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0Open 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 languageC, C++C++, Java, .NetC, C++, JavaC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.noyesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolANSI-99 for query and DML statements, subset of DDLANSI SQL 2011SQL-like query language (GSQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
C++
Java
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yesyes
Triggersyes, Notifications (with Streaming only)yes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesnono
User concepts infoAccess controlyes (enterprise version only)Security Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
BangdbIgniteopenGaussTigerGraph
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