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DBMS > Amazon Aurora vs. Databricks vs. Dgraph vs. IBM Db2 Event Store vs. IBM Db2 warehouse

System Properties Comparison Amazon Aurora vs. Databricks vs. Dgraph vs. IBM Db2 Event Store vs. IBM Db2 warehouse

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatabricks  Xexclude from comparisonDgraph  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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.Distributed and scalable native Graph DBMSDistributed Event Store optimized for Internet of Things use casesCloud-based data warehousing service
Primary database modelRelational DBMSDocument store
Relational DBMS
Graph DBMSEvent Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.databricks.comdgraph.iowww.ibm.com/­products/­db2-event-storewww.ibm.com/­products/­db2/­warehouse
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.databricks.comdgraph.io/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazonDatabricksDgraph Labs, Inc.IBMIBM
Initial release20152013201620172014
Current release2.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++
Server operating systemshostedhostedLinux
OS X
Windows
Linux infoLinux, macOS, Windows for the developer additionhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
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.yesyesnonono infoImport/export of XML data possible
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyeswith Databricks SQLnoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
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
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyesPL/SQL, SQL PL
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSynchronous replication via RaftActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraDatabricksDgraphIBM Db2 Event StoreIBM Db2 warehouse infoformerly named IBM dashDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon AuroraDatabricksDgraphIBM Db2 Event StoreIBM Db2 warehouse infoformerly named IBM dashDB
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