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DBMS > IRONdb vs. Microsoft Azure Cosmos DB vs. Postgres-XL vs. ScyllaDB vs. Snowflake

System Properties Comparison IRONdb vs. Microsoft Azure Cosmos DB vs. Postgres-XL vs. ScyllaDB vs. Snowflake

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonScyllaDB  Xexclude from comparisonSnowflake  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 simplicityGlobally distributed, horizontally scalable, multi-model database serviceBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresCassandra and DynamoDB compatible wide column storeCloud-based data warehousing service for structured and semi-structured data
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­cosmos-dbwww.postgres-xl.orgwww.scylladb.comwww.snowflake.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­azure/­cosmos-dbwww.postgres-xl.org/­documentationdocs.scylladb.comdocs.snowflake.net/­manuals/­index.html
DeveloperCirconus LLC.MicrosoftScyllaDBSnowflake Computing Inc.
Initial release201720142014 infosince 2012, originally named StormDB20152014
Current releaseV0.10.20, January 201810 R1, October 2018ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licenseOpen Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
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++CC++
Server operating systemsLinuxhostedLinux
macOS
Linuxhosted
Data schemeschema-freeschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes infoJSON typesyesyesyes
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.noyes infoXML type, but no XML query functionalitynoyes
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageyes infodistributed, parallel query executionSQL-like DML and DDL statements (CQL)yes
APIs and other access methodsHTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
CLI Client
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, in LuaJavaScriptuser defined functionsyes, Luauser defined functions
TriggersnoJavaScriptyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicehorizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes infoImplicit feature of the cloud serviceselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACID infoMVCCno infoAtomicity and isolation are supported for single operationsACID
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.nonoyes infoin-memory tablesno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardAccess rights for users can be defined per objectUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
IRONdbMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgres-XLScyllaDBSnowflake
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
IRONdbMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBPostgres-XLScyllaDBSnowflake
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