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DBMS > Adabas vs. Apache IoTDB vs. Drizzle vs. Hive vs. Manticore Search

System Properties Comparison Adabas vs. Apache IoTDB vs. Drizzle vs. Hive vs. Manticore Search

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHive  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.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and SparkMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.data warehouse software for querying and managing large distributed datasets, built on HadoopMulti-storage database for search, including full-text search.
Primary database modelMultivalue 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
Score4.74
Rank#77  Overall
#1  Multivalue DBMS
Score0.42
Rank#251  Overall
#20  Time Series DBMS
Score83.45
Rank#15  Overall
#10  Relational DBMS
Score0.08
Rank#311  Overall
#17  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmliotdb.apache.orghive.apache.orgmanticoresearch.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homemanual.manticoresearch.com
DeveloperSoftware AGApache Software FoundationDrizzle project, originally started by Brian AkerApache Software Foundation infoinitially developed by FacebookManticore Software
Initial release19712018200820122017
Current release7.2.4, September 20123.1.2, August 20194.2, December 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU GPLOpen Source infoApache Version 2Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
All OS with a Java VMFreeBSD
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.nonoCan index from XML
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageyes infowith proprietary extensionsSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBCJDBCJDBC
ODBC
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesNaturalC
C++
Java
PHP
C++
Java
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresin Naturalnonoyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnonono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication
Source-replica replication
selectable replication factorSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency with synchronizing with the cloudEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)noPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesno

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More resources
Adabas infodenotes "adaptable data base"Apache IoTDBDrizzleHiveManticore Search
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