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DBMS > EventStoreDB vs. Hypertable vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. RavenDB

System Properties Comparison EventStoreDB vs. Hypertable vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. RavenDB

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.An open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelEvent StoreWide column storeTime Series DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.eventstore.comwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analyticsravendb.net
Technical documentationdevelopers.eventstore.comdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analyticsravendb.net/­docs
DeveloperEvent Store LimitedHypertable Inc.Circonus LLC.MicrosoftHibernating Rhinos
Initial release20122009201720162010
Current release21.2, February 20210.9.8.11, March 2016V0.10.20, January 20185.4, July 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C#
Server operating systemsLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxhostedLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes infotext, numeric, histogramsyesno
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansnoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query language (RQL)
APIs and other access methodsC++ API
Thrift
HTTP APIADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, in LuaTransact SQLyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelconfigurable replication factor, datacenter awareyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID, Cluster-wide transaction available
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.no
User concepts infoAccess controlnonoyesAuthorization levels configured per client per database

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More resources
EventStoreDBHypertableIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRavenDB
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