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DBMS > Apache Impala vs. MaxDB vs. PlanetScale vs. SAP HANA

System Properties Comparison Apache Impala vs. MaxDB vs. PlanetScale vs. SAP HANA

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPlanetScale  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA robust and reliable RDBMS optimized to run all major SAP solutionsScalable, distributed, serverless MySQL database platform built on top of VitessIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websiteimpala.apache.orgmaxdb.sap.complanetscale.comwww.sap.com/­products/­hana.html
Technical documentationimpala.apache.org/­impala-docs.htmlmaxdb.sap.com/­documentationplanetscale.com/­docshelp.sap.com/­hana
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSAP, acquired from Software AG (Adabas-D) in 1997PlanetScaleSAP
Initial release2013198420202010
Current release4.1.0, June 20227.9.10.12, February 20242.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoLimited community edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Go
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
Appliance or cloud-service
Data schemeyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
Java
Perl
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infoproprietary syntaxSQLScript, R
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
yes
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 Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesyes

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More resources
Apache ImpalaMaxDB infoformerly named Adabas-DPlanetScaleSAP HANA
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