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DBMS > Apache Impala vs. EsgynDB vs. Firebird vs. OrigoDB vs. Solr

System Properties Comparison Apache Impala vs. EsgynDB vs. Firebird vs. OrigoDB vs. Solr

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebird  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFirebird is an open source RDBMS forked from Borland's InterBaseA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Search engine
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteimpala.apache.orgwww.esgyn.cnwww.firebirdsql.orgorigodb.comsolr.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmlwww.firebirdsql.org/­en/­reference-manualsorigodb.com/­docssolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaEsgynFirebird FoundationRobert Friberg et alApache Software Foundation
Initial release201320152000 infoAs fork of Borland's InterBase2009 infounder the name LiveDB2006
Current release4.1.0, June 20225.0.0, January 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoInitial Developer's Public LicenseOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, JavaC and C++C#Java
Server operating systemsLinuxLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsyes infosupports customizable data types and automatic typing
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.nonono infocan be achieved using .NETyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesnoSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava Stored ProceduresPSQLyesJava plugins
Triggersnonoyesyes infoDomain Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication between multi datacentersSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptRole based authorizationyes

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More resources
Apache ImpalaEsgynDBFirebirdOrigoDBSolr
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