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DBMS > IRONdb vs. Kdb vs. Microsoft Azure Data Explorer vs. ScyllaDB

System Properties Comparison IRONdb vs. Kdb vs. Microsoft Azure Data Explorer vs. ScyllaDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonScyllaDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh performance Time Series DBMSFully managed big data interactive analytics platformCassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS infocolumn orientedWide column store
Secondary database modelsRelational DBMSDocument 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
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitewww.circonus.com/solutions/time-series-database/kx.comazure.microsoft.com/­services/­data-explorerwww.scylladb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedcode.kx.comdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.scylladb.com
DeveloperCirconus LLC.Kx Systems, a division of First Derivatives plcMicrosoftScyllaDB
Initial release20172000 infokdb was released 2000, kdb+ in 200320192015
Current releaseV0.10.20, January 20183.6, May 2018cloud service with continuous releasesScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageC and C++qC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hostedLinux
Data schemeschema-freeyesFixed schema with schema-less datatypes (dynamic)schema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes 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.noyesyesno
Secondary indexesnoyes infotable attribute 'grouped'all fields are automatically indexedyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language (q)Kusto Query Language (KQL), SQL subsetSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyes, in Luauser defined functionsYes, possible languages: KQL, Python, Ryes, Lua
Triggersnoyes infowith viewsyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioningSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono infoAtomicity and isolation are supported for single operations
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.noyesnoyes infoin-memory tables
User concepts infoAccess controlnorights management via user accountsAzure Active Directory AuthenticationAccess rights for users can be defined per object
More information provided by the system vendor
IRONdbKdbMicrosoft Azure Data ExplorerScyllaDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsupon request
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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IRONdbKdbMicrosoft Azure Data ExplorerScyllaDB
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