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DBMS > Databricks vs. RocksDB vs. SAP SQL Anywhere vs. Teradata

System Properties Comparison Databricks vs. RocksDB vs. SAP SQL Anywhere vs. Teradata

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRocksDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.Embeddable persistent key-value store optimized for fast storage (flash and RAM)RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Relational DBMS
Key-value storeRelational 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
Score3.65
Rank#85  Overall
#11  Key-value stores
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.databricks.comrocksdb.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.teradata.com
Technical documentationdocs.databricks.comgithub.com/­facebook/­rocksdb/­wikihelp.sap.com/­docs/­SAP_SQL_Anywheredocs.teradata.com
DeveloperDatabricksFacebook, Inc.SAP infoformerly SybaseTeradata
Initial release2013201319921984
Current release8.11.4, April 202417, July 2015Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialcommercial
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++
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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.yesnoyesyes
Secondary indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLwith Databricks SQLnoyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Java API
ADO.NET
HTTP API
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesPython
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes, in C/C++, Java, .Net or Perlyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTeradata
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Related products and services
3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
DatabricksRocksDBSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTeradata
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