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DBMS > Databricks vs. Faircom EDGE vs. IBM Db2 Event Store

System Properties Comparison Databricks vs. Faircom EDGE vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsDistributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Event Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitewww.databricks.comwww.faircom.com/­products/­faircom-edgewww.ibm.com/­products/­db2-event-store
Technical documentationdocs.databricks.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperDatabricksFairCom CorporationIBM
Initial release201319792017
Current releaseV3, October 20202.0
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C and C++
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes
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 indexesyesyesno
SQL infoSupport of SQLwith Databricks SQLyes infoANSI SQL queriesyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
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 aggregatesyes info.Net, JavaScript, C/C++yes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - 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.noyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksFaircom EDGE infoformerly c-treeEDGEIBM Db2 Event Store
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksFaircom EDGE infoformerly c-treeEDGEIBM Db2 Event Store
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