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DBMS > Apache Impala vs. Hypertable vs. IRONdb vs. SAP SQL Anywhere vs. Tibero

System Properties Comparison Apache Impala vs. Hypertable vs. IRONdb vs. SAP SQL Anywhere vs. Tibero

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTibero  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSWide column storeTime Series DBMSRelational DBMSRelational DBMS
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
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteimpala.apache.orgwww.circonus.com/solutions/time-series-database/www.sap.com/­products/­technology-platform/­sql-anywhere.htmlus.tmaxsoft.com/­products/­tibero
Technical documentationimpala.apache.org/­impala-docs.htmldocs.circonus.com/irondb/category/getting-startedhelp.sap.com/­docs/­SAP_SQL_Anywheretechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHypertable Inc.Circonus LLC.SAP infoformerly SybaseTmaxSoft
Initial release20132009201719922003
Current release4.1.0, June 20220.9.8.11, March 2016V0.10.20, January 201817, July 20156, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++C and Assembler
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infotext, numeric, histogramsyesyes
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
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesyes
APIs and other access methodsJDBC
ODBC
C++ API
Thrift
HTTP APIADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes, in Luayes, in C/C++, Java, .Net or PerlPersistent Stored Procedure (PSM)
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelconfigurable replication factor, datacenter awareSource-replica replication infoDatabase mirroringMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Apache ImpalaHypertableIRONdbSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTibero
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