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DBMS > Databricks vs. FatDB vs. Teradata vs. VoltDB

System Properties Comparison Databricks vs. FatDB vs. Teradata vs. VoltDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonTeradata  Xexclude from comparisonVoltDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A hybrid cloud data analytics software platform (Teradata Vantage)Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Relational DBMSRelational 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
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.databricks.comwww.teradata.comwww.voltdb.com
Technical documentationdocs.databricks.comdocs.teradata.comdocs.voltdb.com
DeveloperDatabricksFatCloudTeradataVoltDB Inc.
Initial release2013201219842010
Current releaseTeradata Vantage 1.0 MU2, January 201911.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Java, C++
Server operating systemshostedWindowshosted
Linux
Linux
OS X infofor development
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
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.yesyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLwith Databricks SQLno infoVia inetgration in SQL Serveryes infoSQL 2016 + extensionsyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
C#C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infovia applicationsyes infoUDFs, stored procedures, table functions in parallelJava
Triggersyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardUsers and roles with access to stored procedures
More information provided by the system vendor
DatabricksFatDBTeradataVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksFatDBTeradataVoltDB
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