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DBMS > Apache Impala vs. SAP SQL Anywhere vs. Vitess vs. Warp 10

System Properties Comparison Apache Impala vs. SAP SQL Anywhere vs. Vitess vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonVitess  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsScalable, distributed, cloud-native DBMS, extending MySQLTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteimpala.apache.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlvitess.iowww.warp10.io
Technical documentationimpala.apache.org/­impala-docs.htmlhelp.sap.com/­docs/­SAP_SQL_Anywherevitess.io/­docswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSAP infoformerly SybaseThe Linux Foundation, PlanetScaleSenX
Initial release2013199220132015
Current release4.1.0, June 202217, July 201515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0, commercial licenses availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJava
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyesschema-free
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.noyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensionsno
APIs and other access methodsJDBC
ODBC
ADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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-reduceyes, in C/C++, Java, .Net or Perlyes infoproprietary syntaxyes infoWarpScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
selectable replication factor infobased on HBase
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 infobased on HBase
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelno
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.noyesyesyes
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 rolesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache ImpalaSAP SQL Anywhere infoformerly called Adaptive Server AnywhereVitessWarp 10
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