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DBMS > Amazon Aurora vs. Databricks vs. Elasticsearch vs. EventStoreDB

System Properties Comparison Amazon Aurora vs. Databricks vs. Elasticsearch vs. EventStoreDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonEventStoreDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A 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 metricIndustrial-strength, open-source database solution built from the ground up for event sourcing.
Primary database modelRelational DBMSDocument store
Relational DBMS
Search engineEvent Store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score1.07
Rank#181  Overall
#1  Event Stores
Websiteaws.amazon.com/­rds/­aurorawww.databricks.comwww.elastic.co/­elasticsearchwww.eventstore.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldevelopers.eventstore.com
DeveloperAmazonDatabricksElasticEvent Store Limited
Initial release2015201320102012
Current release8.6, January 202321.2, February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic LicenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedAll OS with a Java VMLinux
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyes
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.yesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyeswith Databricks SQLSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Python
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes
Triggersyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoMemcached and Redis integration
User concepts infoAccess controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraDatabricksElasticsearchEventStoreDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon AuroraDatabricksElasticsearchEventStoreDB
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Migrate SQL Server databases to Babelfish for Aurora PostgreSQL using change tracking with a linked server
24 September 2024, AWS Blog

Replace Amazon QLDB with Amazon Aurora PostgreSQL for audit use cases
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Databricks reportedly paid $2 billion in Tabular acquisition
14 August 2024, TechCrunch

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24 July 2024, The Information

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