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DBMS > Databricks vs. dBASE vs. IBM Db2 Event Store vs. Teradata vs. VelocityDB

System Properties Comparison Databricks vs. dBASE vs. IBM Db2 Event Store vs. Teradata vs. VelocityDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTeradata  Xexclude from comparisonVelocityDB  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.dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Distributed Event Store optimized for Internet of Things use casesA hybrid cloud data analytics software platform (Teradata Vantage)A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Relational DBMS
Relational DBMSEvent Store
Time Series DBMS
Relational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
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
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.databricks.comwww.dbase.comwww.ibm.com/­products/­db2-event-storewww.teradata.comvelocitydb.com
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasewww.ibm.com/­docs/­en/­db2-event-storedocs.teradata.comvelocitydb.com/­UserGuide
DeveloperDatabricksAsthon TateIBMTeradataVelocityDB Inc
Initial release20131979201719842011
Current releasedBASE 2019, 20192.0Teradata Vantage 1.0 MU2, January 20197.x
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
Linux infoLinux, macOS, Windows for the developer additionhosted
Linux
Any that supports .NET
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesyes
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.yesnoyesno
Secondary indexesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLwith Databricks SQLnoyes infothrough the embedded Spark runtimeyes infoSQL 2016 + extensionsno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
.Net
Supported programming languagesPython
R
Scala
dBase proprietary IDEC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.yesyes infoUDFs, stored procedures, table functions in parallelno
TriggersnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneActive-active shard replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
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 and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardBased on Windows Authentication
More information provided by the system vendor
DatabricksdBASEIBM Db2 Event StoreTeradataVelocityDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksdBASEIBM Db2 Event StoreTeradataVelocityDB
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