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DBMS > EsgynDB vs. OpenTenBase vs. RavenDB vs. Solr vs. Yaacomo

System Properties Comparison EsgynDB vs. OpenTenBase vs. RavenDB vs. Solr vs. Yaacomo

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonOpenTenBase  Xexclude from comparisonRavenDB  Xexclude from comparisonSolr  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn enterprise-level distributed HTAP open source database based on PostgreSQLOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA widely used distributed, scalable search engine based on Apache LuceneOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.08
Rank#370  Overall
#156  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.esgyn.cngithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
ravendb.netsolr.apache.orgyaacomo.com
Technical documentationdocs.opentenbase.org
docs.opentenbase.org/­en
ravendb.net/­docssolr.apache.org/­resources.html
DeveloperEsgynOpenAtom Foundation, previously TencentHibernating RhinosApache Software FoundationQ2WEB GmbH
Initial release2015201020062009
Current release2.5, January 20245.4, July 20229.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2commercial
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 languageC++, JavaC#Java
Server operating systemsLinuxLinuxLinux
macOS
Raspberry Pi
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Android
Linux
Windows
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesnoyes infosupports customizable data types and automatic typingyes
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.noyesno
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyesSQL-like query language (RQL)Solr Parallel SQL Interfaceyes
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Go
Java
PHP
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresyesJava plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAuthorization levels configured per client per databaseyesfine grained access rights according to SQL-standard

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More resources
EsgynDBOpenTenBaseRavenDBSolrYaacomo
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