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DBMS > CockroachDB vs. FatDB vs. Microsoft Azure Data Explorer vs. PostGIS

System Properties Comparison CockroachDB vs. FatDB vs. Microsoft Azure Data Explorer vs. PostGIS

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPostGIS  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Fully managed big data interactive analytics platformSpatial extension of PostgreSQL
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMS infocolumn orientedSpatial DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websitewww.cockroachlabs.comazure.microsoft.com/­services/­data-explorerpostgis.net
Technical documentationwww.cockroachlabs.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerpostgis.net/­documentation
DeveloperCockroach LabsFatCloudMicrosoft
Initial release2015201220192005
Current release24.1.0, May 2024cloud service with continuous releases3.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#C
Server operating systemsLinux
macOS
Windows
Windowshosted
Data schemedynamic schemaschema-freeFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.noyesyes
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLno infoVia inetgration in SQL ServerKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnoyes infovia applicationsYes, possible languages: KQL, Python, Ruser defined functions
Triggersnoyes infovia applicationsyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTselectable replication factoryes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRole-based access controlno infoCan implement custom security layer via applicationsAzure Active Directory Authenticationyes infobased on PostgreSQL

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More resources
CockroachDBFatDBMicrosoft Azure Data ExplorerPostGIS
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