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DBMS > Adabas vs. Apache Impala vs. Databricks vs. Oracle Berkeley DB

System Properties Comparison Adabas vs. Apache Impala vs. Databricks vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAnalytic DBMS for HadoopThe 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.Widely used in-process key-value store
Primary database modelMultivalue DBMSRelational DBMSDocument store
Relational DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlimpala.apache.orgwww.databricks.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databricks.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperSoftware AGApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release1971201320131994
Current release4.1.0, June 202218.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-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.nonoyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like DML and DDL statementswith Databricks SQLyes infoSQL interfaced based on SQLite is available
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesNaturalAll languages supporting JDBC/ODBCPython
R
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresin Naturalyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesno
Triggersnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nononoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosno
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Apache ImpalaDatabricksOracle Berkeley DB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Adabas infodenotes "adaptable data base"Apache ImpalaDatabricksOracle Berkeley DB
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