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DBMS > Apache Impala vs. eXtremeDB vs. InfluxDB vs. SAP SQL Anywhere

System Properties Comparison Apache Impala vs. eXtremeDB vs. InfluxDB vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisoneXtremeDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopNatively in-memory DBMS with options for persistency, high-availability and clusteringDBMS for storing time series, events and metricsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websiteimpala.apache.orgwww.mcobject.comwww.influxdata.com/­products/­influxdb-overviewwww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationimpala.apache.org/­impala-docs.htmlwww.mcobject.com/­docs/­extremedb.htmdocs.influxdata.com/­influxdbhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMcObjectSAP infoformerly Sybase
Initial release2013200120131992
Current release4.1.0, June 20228.2, 20212.7.6, April 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Go
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X infothrough Homebrew
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyes
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.nono infosupport of XML interfaces availablenoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith the option: eXtremeSQLSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
JSON over UDP
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnoyes, in C/C++, Java, .Net or Perl
Triggersnoyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor infoin enterprise version onlySource-replica replication infoDatabase mirroring
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaeXtremeDBInfluxDBSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open source core with closed source clustering available either on-premise or on...
» more
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More resources
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