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DBMS > EXASOL vs. Ignite vs. IRONdb vs. SwayDB vs. TigerGraph

System Properties Comparison EXASOL vs. Ignite vs. IRONdb vs. SwayDB vs. TigerGraph

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIgnite  Xexclude from comparisonIRONdb  Xexclude from comparisonSwayDB  Xexclude from comparisonTigerGraph  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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitewww.exasol.comignite.apache.orgwww.circonus.com/solutions/time-series-database/swaydb.simer.auwww.tigergraph.com
Technical documentationwww.exasol.com/­resourcesapacheignite.readme.io/­docsdocs.circonus.com/irondb/category/getting-starteddocs.tigergraph.com
DeveloperExasolApache Software FoundationCirconus LLC.Simer Plaha
Initial release20002015201720182017
Current releaseApache Ignite 2.6V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC and C++ScalaC++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnoyes
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.noyesnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language (GSQL)
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Kotlin
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yes, in Luanoyes
Triggersyesyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)configurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic execution of 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.yesyesnoyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsnonoRole-based access control

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More resources
EXASOLIgniteIRONdbSwayDBTigerGraph
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