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DBMS > Amazon Aurora vs. Apache Pinot vs. Elasticsearch vs. IBM Db2 warehouse vs. Sqrrl

System Properties Comparison Amazon Aurora vs. Apache Pinot vs. Elasticsearch vs. IBM Db2 warehouse vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Pinot  Xexclude from comparisonElasticsearch  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA 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 metricCloud-based data warehousing serviceAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score1.30
Rank#164  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorapinot.apache.orgwww.elastic.co/­elasticsearchwww.ibm.com/­products/­db2/­warehousesqrrl.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.pinot.apache.orgwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonApache Software Foundation and contributorsElasticIBMAmazon infooriginally Sqrrl Data, Inc.
Initial release20152015201020142012
Current release1.0.0, September 20238.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemshostedAll OS with a Java JDK11 or higherAll OS with a Java VMhostedLinux
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
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.yesnono infoImport/export of XML data possible
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJava API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Go
Java
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyesPL/SQL, SQL PLno
Triggersyesyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic updates per row, document, or graph entity
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.yesMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon AuroraApache PinotElasticsearchIBM Db2 warehouse infoformerly named IBM dashDBSqrrl
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