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DBMS > EventStoreDB vs. HarperDB vs. Oracle Berkeley DB vs. PouchDB vs. STSdb

System Properties Comparison EventStoreDB vs. HarperDB vs. Oracle Berkeley DB vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHarperDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.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.Widely used in-process key-value storeJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelEvent StoreDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.60
Rank#244  Overall
#38  Document stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.eventstore.comwww.harperdb.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlpouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdevelopers.eventstore.comdocs.harperdb.io/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlpouchdb.com/­guides
DeveloperEvent Store LimitedHarperDBOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationSTS Soft SC
Initial release20122017199420122011
Current release21.2, February 20213.1, August 202118.1.40, May 20207.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Sourcecommercial infofree community edition availableOpen Source infocommercial license availableOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC, Java, C++ (depending on the Berkeley DB edition)JavaScriptC#
Server operating systemsLinux
Windows
Linux
OS X
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemedynamic schemaschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoJSON data typesnonoyes infoprimitive types and user defined types (classes)
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes infovia viewsno
SQL infoSupport of SQLSQL-like data manipulation statementsyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languages.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
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
JavaScriptC#
Java
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noView functions in JavaScriptno
Triggersnoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusternoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, using LMDByesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesnonono

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More resources
EventStoreDBHarperDBOracle Berkeley DBPouchDBSTSdb
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