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DBMS > Apache Impala vs. Databricks vs. JaguarDB vs. MaxDB vs. XTDB

System Properties Comparison Apache Impala vs. Databricks vs. JaguarDB vs. MaxDB vs. XTDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonDatabricks  Xexclude from comparisonJaguarDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAnalytic 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.Performant, highly scalable DBMS for AI and IoT applicationsA robust and reliable RDBMS optimized to run all major SAP solutionsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value store
Vector DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteimpala.apache.orgwww.databricks.comwww.jaguardb.commaxdb.sap.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.databricks.comwww.jaguardb.com/­support.htmlmaxdb.sap.com/­documentationwww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaDatabricksDataJaguar, Inc.SAP, acquired from Software AG (Adabas-D) in 1997Juxt Ltd.
Initial release20132013201519842019
Current release4.1.0, June 20223.3 July 20237.9.10.12, February 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL V3.0commercial infoLimited community edition freeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ infothe server part. Clients available in other languagesC++Clojure
Server operating systemsLinuxhostedLinuxAIX
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementswith Databricks SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
HTTP REST
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCPython
R
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
Perl
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions and aggregatesnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaDatabricksJaguarDBMaxDB infoformerly named Adabas-DXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Apache ImpalaDatabricksJaguarDBMaxDB infoformerly named Adabas-DXTDB infoformerly named Crux
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