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DBMS > HarperDB vs. Kyligence Enterprise vs. Oracle Berkeley DB vs. OrigoDB vs. Prometheus

System Properties Comparison HarperDB vs. Kyligence Enterprise vs. Oracle Berkeley DB vs. OrigoDB vs. Prometheus

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionUltra-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.A distributed analytics engine for big data, built on top of Apache KylinWidely used in-process key-value storeA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring system
Primary database modelDocument storeRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.harperdb.iokyligence.io/­kyligence-enterprisewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.comprometheus.io
Technical documentationdocs.harperdb.io/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docsprometheus.io/­docs
DeveloperHarperDBKyligence, Inc.Oracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et al
Initial release2017201619942009 infounder the name LiveDB2015
Current release3.1, August 202118.1.40, May 2020
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infocommercial license availableOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsJavaC, Java, C++ (depending on the Berkeley DB edition)C#Go
Server operating systemsLinux
OS X
LinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Linux
Windows
Data schemedynamic schemayesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesnoUser defined using .NET types and collectionsNumeric data only
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 infoonly with the Berkeley DB XML editionno infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like data manipulation statementsANSI SQL for queries (using Apache Calcite)yes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON 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
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noyesno
Triggersnoyes infoonly for the SQL APIyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusternonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlAccess rights for users and rolesnoRole based authorizationno

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More resources
HarperDBKyligence EnterpriseOracle Berkeley DBOrigoDBPrometheus
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