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DBMS > Amazon Redshift vs. Databricks vs. SAP SQL Anywhere vs. TerminusDB

System Properties Comparison Amazon Redshift vs. Databricks vs. SAP SQL Anywhere vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabricks  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsThe 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.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­redshiftwww.databricks.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlterminusdb.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databricks.comhelp.sap.com/­docs/­SAP_SQL_Anywhereterminusdb.github.io/­terminusdb/­#
DeveloperAmazon (based on PostgreSQL)DatabricksSAP infoformerly SybaseDataChemist Ltd.
Initial release2012201319922018
Current release17, July 201511.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCProlog, Rust
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
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.noyesyesno
Secondary indexesrestrictedyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardwith Databricks SQLyesSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions and aggregatesyes, in C/C++, Java, .Net or Perlyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication infoDatabase mirroringJournaling Streams
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 integrityyes infoinformational only, not enforced by the systemyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Amazon RedshiftDatabricksSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTerminusDB infoformer name was DataChemist
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Amazon RedshiftDatabricksSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTerminusDB infoformer name was DataChemist
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