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DBMS > Google Cloud Spanner vs. IRONdb vs. jBASE vs. Microsoft Azure Table Storage

System Properties Comparison Google Cloud Spanner vs. IRONdb vs. jBASE vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonIRONdb  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA 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 simplicityA robust multi-value DBMS comprising development tools and middlewareA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRelational DBMSTime Series DBMSMultivalue DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitecloud.google.com/­spannerwww.circonus.com/solutions/time-series-database/www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcloud.google.com/­spanner/­docsdocs.circonus.com/irondb/category/getting-starteddocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperGoogleCirconus LLC.Rocket Software (formerly Zumasys)Microsoft
Initial release2017201719912012
Current releaseV0.10.20, January 20185.7
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedLinuxAIX
Linux
Windows
hosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsoptionalyes
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.nonoyesno
Secondary indexesyesnono
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query language (Circonus Analytics Query Language: CAQL)Embedded SQL for jBASE in BASICno
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
Supported programming languagesGo
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
.Net
Basic
Jabbascript
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, in Luayesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.configurable replication factor, datacenter awareyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnoACIDoptimistic locking
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.nonoyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signatures

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More resources
Google Cloud SpannerIRONdbjBASEMicrosoft Azure Table Storage
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