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DBMS > Databricks vs. Fujitsu Enterprise Postgres vs. H2 vs. Hypertable

System Properties Comparison Databricks vs. Fujitsu Enterprise Postgres vs. H2 vs. Hypertable

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonH2  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines 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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Websitewww.databricks.comwww.postgresql.fastware.comwww.h2database.com
Technical documentationdocs.databricks.comwww.postgresql.fastware.com/­product-manualswww.h2database.com/­html/­main.html
DeveloperDatabricksPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyThomas MuellerHypertable Inc.
Initial release201320052009
Current releaseFujitsu Enterprise Postgres 14, January 20222.2.220, July 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++
Server operating systemshostedLinux
Windows
All OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesno
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLwith Databricks SQLyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
C++ API
Thrift
Supported programming languagesPython
R
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaC++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsJava Stored Procedures and User-Defined Functionsno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)yes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
DatabricksFujitsu Enterprise PostgresH2Hypertable
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksFujitsu Enterprise PostgresH2Hypertable
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