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DBMS > Bangdb vs. Cloudflare Workers KV vs. PostgreSQL vs. SAP SQL Anywhere

System Properties Comparison Bangdb vs. Cloudflare Workers KV vs. PostgreSQL vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
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
Score0.29
Rank#283  Overall
#40  Key-value stores
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websitebangdb.comwww.cloudflare.com/­developer-platform/­workers-kvwww.postgresql.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.bangdb.comdevelopers.cloudflare.com/­kv/­apiwww.postgresql.org/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperSachin Sinha, BangDBCloudflarePostgreSQL Global Development Group infowww.postgresql.org/­developerSAP infoformerly Sybase
Initial release201220181989 info1989: Postgres, 1996: PostgreSQL1992
Current releaseBangDB 2.0, October 202116.4, August 202417, July 2015
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageC, C++C
Server operating systemsLinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes
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 infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyes infostandard with numerous extensionsyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP REST
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in C/C++, Java, .Net or Perl
Triggersyes, Notifications (with Streaming only)noyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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 modenonoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BangdbCloudflare Workers KVPostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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