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DBMS > Adabas vs. Google BigQuery vs. Hive vs. IBM Db2 Event Store vs. MongoDB

System Properties Comparison Adabas vs. Google BigQuery vs. Hive vs. IBM Db2 Event Store vs. MongoDB

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformLarge scale data warehouse service with append-only tablesdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Event Store optimized for Internet of Things use casesOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelMultivalue DBMSRelational DBMSRelational DBMSEvent Store
Time Series DBMS
Document store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#87  Overall
#1  Multivalue DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score64.82
Rank#18  Overall
#12  Relational DBMS
Score0.25
Rank#320  Overall
#2  Event Stores
#28  Time Series DBMS
Score424.53
Rank#5  Overall
#1  Document stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcloud.google.com/­bigqueryhive.apache.orgwww.ibm.com/­products/­db2-event-storewww.mongodb.com
Technical documentationcloud.google.com/­bigquery/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2-event-storewww.mongodb.com/­docs/­manual
DeveloperSoftware AGGoogleApache Software Foundation infoinitially developed by FacebookIBMMongoDB, Inc
Initial release19712010201220172009
Current release3.1.3, April 20222.06.0.7, June 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenoyesnonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
Data schemeyesyesyesyesschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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 indexesyesnoyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewayyesSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
RESTful HTTP/JSON APIJDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesNatural.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresin Naturaluser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reduceyesJavaScript
Triggersnonononoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatorselectable replication factorActive-active shard replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynonononono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanonoMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Google BigQueryHiveIBM Db2 Event StoreMongoDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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Adabas infodenotes "adaptable data base"Google BigQueryHiveIBM Db2 Event StoreMongoDB
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