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DBMS > Amazon Aurora vs. Elasticsearch vs. Hazelcast vs. IBM Db2 vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon Aurora vs. Elasticsearch vs. Hazelcast vs. IBM Db2 vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonElasticsearch  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA 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 widely adopted in-memory data gridCommon in IBM host environments, 2 different versions for host and Windows/LinuxElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSSearch engineKey-value storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
Document store infoJSON support with IMDG 3.12Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score5.46
Rank#61  Overall
#7  Key-value stores
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.elastic.co/­elasticsearchhazelcast.comwww.ibm.com/­products/­db2azure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2docs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonElasticHazelcastIBMMicrosoft
Initial release2015201020081983 infohost version2016
Current release8.6, January 20235.3.6, November 202312.1, October 2016
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++C++
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
z/OS
hosted
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyes infoAll search fields are automatically indexedyesyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresyesyesyes infoEvent Listeners, Executor ServicesyesTransact SQL
Triggersyesyes infoby using the 'percolation' featureyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infoonly with Windows/Unix/Linux VersionSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoReplicated Mapyes infowith separate tools (MQ, InfoSphere)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesnono
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 Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-standardRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
Amazon AuroraElasticsearchHazelcastIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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