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DBMS > EsgynDB vs. Firebolt vs. Greenplum vs. Solr vs. Typesense

System Properties Comparison EsgynDB vs. Firebolt vs. Greenplum vs. Solr vs. Typesense

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFirebolt  Xexclude from comparisonGreenplum  Xexclude from comparisonSolr  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A widely used distributed, scalable search engine based on Apache LuceneA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.esgyn.cnwww.firebolt.iogreenplum.orgsolr.apache.orgtypesense.org
Technical documentationdocs.firebolt.iodocs.greenplum.orgsolr.apache.org/­resources.htmltypesense.org/­docs
DeveloperEsgynFirebolt Analytics Inc.Pivotal Software Inc.Apache Software Foundation
Initial release20152020200520062015
Current release7.0.0, September 20239.6.1, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC++
Server operating systemsLinuxhostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyes infosince Version 4.2yes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyesyesSolr Parallel SQL Interfaceno
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
JavaScript (Node.js)
Python
C
Java
Perl
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresJava Stored ProceduresnoyesJava pluginsno
Triggersnonoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layerSource-replica replicationyesMulti-source replication using RAFT
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 ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
EsgynDBFireboltGreenplumSolrTypesense
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