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DBMS > Amazon Redshift vs. Databricks vs. EsgynDB vs. H2GIS vs. Kinetica

System Properties Comparison Amazon Redshift vs. Databricks vs. EsgynDB vs. H2GIS vs. Kinetica

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonH2GIS  Xexclude from comparisonKinetica  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial extension of H2Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.databricks.comwww.esgyn.cnwww.h2gis.orgwww.kinetica.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.databricks.comwww.h2gis.org/­docs/­homedocs.kinetica.com
DeveloperAmazon (based on PostgreSQL)DatabricksEsgynCNRSKinetica
Initial release20122013201520132012
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, JavaJavaC, C++
Server operating systemshostedhostedLinuxLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.noyesnonono
Secondary indexesrestrictedyesyesyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardwith Databricks SQLyesyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
All languages supporting JDBC/ODBC/ADO.NetJavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonuser defined functions and aggregatesJava Stored Proceduresyes infobased on H2user defined functions
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication between multi datacentersyes infobased on H2Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infobased on H2Access rights for users and roles on table level
More information provided by the system vendor
Amazon RedshiftDatabricksEsgynDBH2GISKinetica
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
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