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DBMS > Databricks vs. EXASOL vs. Firebird vs. IBM Db2 Event Store vs. SwayDB

System Properties Comparison Databricks vs. EXASOL vs. Firebird vs. IBM Db2 Event Store vs. SwayDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEXASOL  Xexclude from comparisonFirebird  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSwayDB  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Firebird is an open source RDBMS forked from Borland's InterBaseDistributed Event Store optimized for Internet of Things use casesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSEvent Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.databricks.comwww.exasol.comwww.firebirdsql.orgwww.ibm.com/­products/­db2-event-storeswaydb.simer.au
Technical documentationdocs.databricks.comwww.exasol.com/­resourceswww.firebirdsql.org/­en/­reference-manualswww.ibm.com/­docs/­en/­db2-event-store
DeveloperDatabricksExasolFirebird FoundationIBMSimer Plaha
Initial release201320002000 infoAs fork of Borland's InterBase20172018
Current release5.0.0, January 20242.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoInitial Developer's Public Licensecommercial infofree developer edition availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and C++Scala
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLwith Databricks SQLyesyesyes infothrough the embedded Spark runtimeno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
Java
Lua
Python
R
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsPSQLyesno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersNo - 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.noyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksEXASOLFirebirdIBM Db2 Event StoreSwayDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEXASOLFirebirdIBM Db2 Event StoreSwayDB
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