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DBMS > EJDB vs. EXASOL vs. Google Cloud Spanner vs. IRONdb vs. SiteWhere

System Properties Comparison EJDB vs. EXASOL vs. Google Cloud Spanner vs. IRONdb vs. SiteWhere

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonIRONdb  Xexclude from comparisonSiteWhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)High-performance, in-memory, MPP database specifically designed for in-memory analytics.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityM2M integration platform for persisting/querying time series data
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbwww.exasol.comcloud.google.com/­spannerwww.circonus.com/solutions/time-series-database/github.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.exasol.com/­resourcescloud.google.com/­spanner/­docsdocs.circonus.com/irondb/category/getting-startedsitewhere1.sitewhere.io/­index.html
DeveloperSoftmotionsExasolGoogleCirconus LLC.SiteWhere
Initial release20122000201720172010
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++Java
Server operating systemsserver-lesshostedLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes infotext, numeric, histogramsyes
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 indexesnoyesyesnono
SQL infoSupport of SQLnoyesyes infoQuery statements complying to ANSI 2011SQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsin-process shared library.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP APIHTTP REST
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
Lua
Python
R
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functionsnoyes, in Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingAutomatic, metric affinity per nodeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.configurable replication factor, datacenter awareselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoStrict serializable isolationnono
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
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.yesnonono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers with fine-grained authorization concept

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More resources
EJDBEXASOLGoogle Cloud SpannerIRONdbSiteWhere
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