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DBMS > Adabas vs. Apache Druid vs. Microsoft Azure Synapse Analytics vs. ToroDB vs. Vitess

System Properties Comparison Adabas vs. Apache Druid vs. Microsoft Azure Synapse Analytics vs. ToroDB vs. Vitess

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Druid  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonToroDB  Xexclude from comparisonVitess  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA MongoDB-compatible JSON document store, built on top of PostgreSQLScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelMultivalue DBMSRelational DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldruid.apache.orgazure.microsoft.com/­services/­synapse-analyticsgithub.com/­torodb/­servervitess.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.microsoft.com/­azure/­synapse-analyticsvitess.io/­docs
DeveloperSoftware AGApache Software Foundation and contributorsMicrosoft8KdataThe Linux Foundation, PlanetScale
Initial release19712012201620162013
Current release29.0.1, April 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoAGPL-V3Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaGo
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Unix
hostedAll OS with a Java 7 VMDocker
Linux
macOS
Data schemeyesyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_idyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL for queryingyesyes infowith proprietary extensions
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesNaturalClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresin NaturalnoTransact SQLyes infoproprietary syntax
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infomanual/auto, time-basedSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, via HDFS, S3 or other storage enginesyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Adabas infodenotes "adaptable data base"Apache DruidMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseToroDBVitess
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