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DBMS > Adabas vs. DolphinDB vs. Drizzle vs. Informix vs. Percona Server for MongoDB

System Properties Comparison Adabas vs. DolphinDB vs. Drizzle vs. Informix vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDolphinDB  Xexclude from comparisonDrizzle  Xexclude from comparisonInformix  Xexclude from comparisonPercona Server for MongoDB  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 platformDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelMultivalue DBMSTime Series DBMSRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBDocument store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.dolphindb.comwww.ibm.com/­products/­informixwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.percona.com/­percona-distribution-for-mongodb
DeveloperSoftware AGDolphinDB, IncDrizzle project, originally started by Brian AkerIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Percona
Initial release19712018200819842015
Current releasev2.00.4, January 20227.2.4, September 201214.10.FC5, November 20203.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoGNU GPLcommercial infofree developer edition availableOpen 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 languageC++C++C, C++ and JavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Windows
FreeBSD
Linux
OS X
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL-like query languageyes infowith proprietary extensionsyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesNaturalC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresin NaturalyesnoyesJavaScript
Triggersnonono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDno
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.noyesyesyes infovia In-Memory Engine
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Administrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authentication, authorization, and auditing controlsAccess rights for users and roles

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More resources
Adabas infodenotes "adaptable data base"DolphinDBDrizzleInformixPercona Server for MongoDB
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