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DBMS > EXASOL vs. Graph Engine vs. IRONdb vs. Microsoft Azure Cosmos DB vs. SwayDB

System Properties Comparison EXASOL vs. Graph Engine vs. IRONdb vs. Microsoft Azure Cosmos DB vs. SwayDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSwayDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityGlobally distributed, horizontally scalable, multi-model database serviceAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#119  Overall
#57  Relational DBMS
Score0.64
Rank#241  Overall
#21  Graph DBMS
#35  Key-value stores
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.03
Rank#385  Overall
#60  Key-value stores
Websitewww.exasol.comwww.graphengine.iowww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­cosmos-dbswaydb.simer.au
Technical documentationwww.exasol.com/­resourceswww.graphengine.io/­docs/­manualdocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­azure/­cosmos-db
DeveloperExasolMicrosoftCirconus LLC.MicrosoftSimer Plaha
Initial release20002010201720142018
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialcommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC and C++Scala
Server operating systems.NETLinuxhosted
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes infoJSON typesno
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 indexesyesnoyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIHTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesJava
Lua
Python
R
C#
C++
F#
Visual Basic
.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
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsyesyes, in LuaJavaScriptno
TriggersyesnonoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoMulti-item ACID transactions with snapshot isolation within a partitionAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoAccess rights can be defined down to the item levelno

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More resources
EXASOLGraph Engine infoformer name: TrinityIRONdbMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSwayDB
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