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DBMS > HarperDB vs. Kyligence Enterprise vs. Manticore Search vs. OrigoDB

System Properties Comparison HarperDB vs. Kyligence Enterprise vs. Manticore Search vs. OrigoDB

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonManticore Search  Xexclude from comparisonOrigoDB  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 KylinMulti-storage database for search, including full-text search.A fully ACID in-memory object graph database
Primary database modelDocument storeRelational DBMSSearch engineDocument store
Object oriented DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
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
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.harperdb.iokyligence.io/­kyligence-enterprisemanticoresearch.comorigodb.com
Technical documentationdocs.harperdb.io/­docsmanual.manticoresearch.comorigodb.com/­docs
DeveloperHarperDBKyligence, Inc.Manticore SoftwareRobert Friberg et al
Initial release2017201620172009 infounder the name LiveDB
Current release3.1, August 20216.0, February 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoGPL version 2Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsJavaC++C#
Server operating systemsLinux
OS X
LinuxFreeBSD
Linux
macOS
Windows
Linux
Windows
Data schemedynamic schemayesFixed schemayes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanUser defined using .NET types and collections
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.nonoCan index from XMLno infocan be achieved using .NET
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like data manipulation statementsANSI SQL for queries (using Apache Calcite)SQL-like query languageno
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
.NET Client API
HTTP API
LINQ
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1user defined functionsyes
Triggersnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyes infoThe original contents of fields are not stored in the Manticore index.yes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesnoRole based authorization

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More resources
HarperDBKyligence EnterpriseManticore SearchOrigoDB
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