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DBMS > Altibase vs. Apache IoTDB vs. Drizzle vs. Interbase vs. Manticore Search

System Properties Comparison Altibase vs. Apache IoTDB vs. Drizzle vs. Interbase vs. Manticore Search

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonInterbase  Xexclude from comparisonManticore Search  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Light-weight proven RDBMS infooriginally from BorlandMulti-storage database for search, including full-text search.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.87
Rank#200  Overall
#93  Relational DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Websitealtibase.comiotdb.apache.orgwww.embarcadero.com/­products/­interbasemanticoresearch.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.embarcadero.com/­products/­interbasemanual.manticoresearch.com
DeveloperAltibaseApache Software FoundationDrizzle project, originally started by Brian AkerEmbarcaderoManticore Software
Initial release19992018200819842017
Current releasev7.3, 2023, August 20231.1.0, April 20237.2.4, September 2012InterBase 2020, December 20196.0, February 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++CC++
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Android
iOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesyesyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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 infoexport as XML data possibleCan index from XML
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI SQL-92SQL-like query languageyes infowith proprietary extensionsyesSQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native API
JDBCADO.NET
JDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C++
Java
C
C#
C++
Go
Java
Python
Scala
C
C++
Java
PHP
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsyesnoyes infoInterbase procedure and trigger languageuser defined functions
Triggersyesyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Interbase Change ViewsSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardno

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More resources
AltibaseApache IoTDBDrizzleInterbaseManticore Search
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