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DBMS > Databricks vs. NSDb vs. RethinkDB vs. SwayDB vs. Teradata

System Properties Comparison Databricks vs. NSDb vs. RethinkDB vs. SwayDB vs. Teradata

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparisonSwayDB  Xexclude from comparisonTeradata  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.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument storeKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSDocument 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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.00
Rank#382  Overall
#59  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.databricks.comnsdb.iorethinkdb.comswaydb.simer.auwww.teradata.com
Technical documentationdocs.databricks.comnsdb.io/­Architecturerethinkdb.com/­docsdocs.teradata.com
DeveloperDatabricksThe Linux Foundation infosince July 2017Simer PlahaTeradata
Initial release20132017200920181984
Current release2.4.1, August 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaC++Scala
Server operating systemshostedLinux
macOS
Linux
OS X
Windows
hosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometrynoyes
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.yesnononoyes
Secondary indexesyesall fields are automatically indexedyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLwith Databricks SQLSQL-like query languagenonoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesPython
R
Scala
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnonoyes infoUDFs, stored procedures, table functions in parallel
TriggersClient-side triggers through changefeedsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basednoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-document operationsAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlyes infousers and table-level permissionsnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksNSDbRethinkDBSwayDBTeradata
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksNSDbRethinkDBSwayDBTeradata
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