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DBMS > Bangdb vs. Cloudflare Workers KV vs. Greenplum vs. Oracle Rdb vs. TerarkDB

System Properties Comparison Bangdb vs. Cloudflare Workers KV vs. Greenplum vs. Oracle Rdb vs. TerarkDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonGreenplum  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeRelational DBMSRelational DBMSKey-value store
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
Score0.39
Rank#274  Overall
#39  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvgreenplum.orgwww.oracle.com/­database/­technologies/­related/­rdb.htmlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apidocs.greenplum.orgwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperSachin Sinha, BangDBCloudflarePivotal Software Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)ByteDance, originally Terark
Initial release20122018200519842016
Current releaseBangDB 2.0, October 20217.0.0, September 20237.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache 2.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinuxhostedLinuxHP Open VMS
Data schemeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyesno
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 infosince Version 4.2nono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyesno
SQL infoSupport of SQLSQL like support with command line toolnoyesyesno
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
Java
Perl
Python
R
C++
Java
Server-side scripts infoStored proceduresnonoyesno
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 modenononoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardno

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More resources
BangdbCloudflare Workers KVGreenplumOracle RdbTerarkDB
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