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DBMS > Apache Impala vs. Percona Server for MySQL vs. RavenDB vs. Solr

System Properties Comparison Apache Impala vs. Percona Server for MySQL vs. RavenDB vs. Solr

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRavenDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Websiteimpala.apache.orgwww.percona.com/­software/­mysql-database/­percona-serverravendb.netsolr.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmlwww.percona.com/­downloads/­Percona-Server-LATESTravendb.net/­docssolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPerconaHibernating RhinosApache Software Foundation
Initial release2013200820102006
Current release4.1.0, June 20228.0.36-28, 20245.4, July 20229.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2Open Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C#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)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes 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.noyesyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (RQL)Solr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
ADO.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
Supported programming languagesAll languages supporting JDBC/ODBCAda
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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 proceduresyes infouser defined functions and integration of map-reduceyesyesJava plugins
Triggersnoyesyesyes 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 nodesselectable replication factorMulti-source replication
Source-replica replication
XtraDB Cluster
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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 Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID, Cluster-wide transaction availableoptimistic locking
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization concept infono user groups or rolesAuthorization levels configured per client per databaseyes

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Apache ImpalaPercona Server for MySQLRavenDBSolr
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