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DBMS > AgensGraph vs. Apache Drill vs. Elasticsearch vs. Graph Engine vs. Spark SQL

System Properties Comparison AgensGraph vs. Apache Drill vs. Elasticsearch vs. Graph Engine vs. Spark SQL

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Drill  Xexclude from comparisonElasticsearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLSchema-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 metricA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
Relational DBMS
Document store
Relational DBMS
Search engineGraph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score134.78
Rank#7  Overall
#1  Search engines
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitebitnine.net/­agensgraphdrill.apache.orgwww.elastic.co/­elasticsearchwww.graphengine.iospark.apache.org/­sql
Technical documentationbitnine.net/­documentationdrill.apache.org/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBitnine Global Inc.Apache Software FoundationElasticMicrosoftApache Software Foundation
Initial release20162012201020102014
Current release2.1, December 20181.20.3, January 20238.6, January 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoElastic LicenseOpen Source infoMIT LicenseOpen Source infoApache 2.0
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 languageCJava.NET and CScala
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VM.NETLinux
OS X
Windows
Data schemedepending on used data modelschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLyesSQL SELECT statement is SQL:2003 compliantSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C++.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyesyesno
Triggersnonoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceMemcached and Redis integrationyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourceno

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More resources
AgensGraphApache DrillElasticsearchGraph Engine infoformer name: TrinitySpark SQL
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