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DBMS > Apache Drill vs. Elasticsearch vs. Valentina Server vs. Vitess

System Properties Comparison Apache Drill vs. Elasticsearch vs. Valentina Server vs. Vitess

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonElasticsearch  Xexclude from comparisonValentina Server  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricObject-relational database and reports serverScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Relational DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitedrill.apache.orgwww.elastic.co/­elasticsearchwww.valentina-db.netvitess.io
Technical documentationdrill.apache.org/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpvitess.io/­docs
DeveloperApache Software FoundationElasticParadigma SoftwareThe Linux Foundation, PlanetScale
Initial release2012201019992013
Current release1.20.3, January 20238.6, January 20235.7.515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoElastic LicensecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
ODBCADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesyesyes infoproprietary syntax
Triggersnoyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceMemcached and Redis integrationyesyes
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache DrillElasticsearchValentina ServerVitess
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