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DBMS > Badger vs. DolphinDB vs. EDB Postgres vs. HarperDB

System Properties Comparison Badger vs. DolphinDB vs. EDB Postgres vs. HarperDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolphinDB  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelKey-value storeTime Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.dolphindb.comwww.enterprisedb.comwww.harperdb.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolphindb.cn/­en/­help200/­index.htmlwww.enterprisedb.com/­docsdocs.harperdb.io/­docs
DeveloperDGraph LabsDolphinDB, IncEnterpriseDBHarperDB
Initial release2017201820052017
Current releasev2.00.4, January 202214, December 20213.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercial infoBSD for PostgreSQL-componentscommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++CNode.js
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Data schemeschema-freeyesyesdynamic schema
Typing infopredefined data types such as float or datenoyesyesyes infoJSON 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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infostandard with numerous extensionsSQL-like data manipulation statements
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Custom Functions infosince release 3.1
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioning infoby hash, list or rangeA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlnoAdministrators, Users, Groupsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
BadgerDolphinDBEDB PostgresHarperDB
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