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DBMS > Bangdb vs. GBase vs. Hazelcast vs. TimescaleDB

System Properties Comparison Bangdb vs. GBase vs. Hazelcast vs. TimescaleDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMSDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitebangdb.comwww.gbase.cnhazelcast.comwww.timescale.com
Technical documentationdocs.bangdb.comhazelcast.org/­imdg/­docsdocs.timescale.com
DeveloperSachin Sinha, BangDBGeneral Data Technology Co., Ltd.HazelcastTimescale
Initial release2012200420082017
Current releaseBangDB 2.0, October 2021GBase 8a, GBase 8s, GBase 8c5.3.6, November 20232.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C, Java, PythonJavaC
Server operating systemsLinuxLinuxAll OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.noyesyes infothe object must implement a serialization strategyyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolStandard with numerous extensionsSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes infoEvent Listeners, Executor Servicesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes, Notifications (with Streaming only)yesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesyes infoReplicated MapSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
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 modeyesno
User concepts infoAccess controlyes (enterprise version only)yesRole-based access controlfine grained access rights according to SQL-standard

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More resources
BangdbGBaseHazelcastTimescaleDB
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