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DBMS > Databricks vs. EsgynDB vs. IBM Db2 vs. IBM Db2 Event Store

System Properties Comparison Databricks vs. EsgynDB vs. IBM Db2 vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionThe 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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCommon in IBM host environments, 2 different versions for host and Windows/LinuxDistributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBEvent Store
Time Series DBMS
Secondary database modelsDocument 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
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.databricks.comwww.esgyn.cnwww.ibm.com/­products/­db2www.ibm.com/­products/­db2-event-store
Technical documentationdocs.databricks.comwww.ibm.com/­docs/­en/­db2www.ibm.com/­docs/­en/­db2-event-store
DeveloperDatabricksEsgynIBMIBM
Initial release201320151983 infohost version2017
Current release12.1, October 20162.0
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version is availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC and C++C and C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux infoLinux, macOS, Windows for the developer addition
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesyesyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersyes infowith separate tools (MQ, InfoSphere)Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksEsgynDBIBM Db2 infoformerly named DB2 or IBM Database 2IBM Db2 Event Store
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
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