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DBMS > Blueflood vs. Datomic vs. Microsoft Azure Table Storage vs. Teradata Aster

System Properties Comparison Blueflood vs. Datomic vs. Microsoft Azure Table Storage vs. Teradata Aster

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA Wide Column Store for rapid development using massive semi-structured datasetsPlatform for big data analytics on multistructured data sources and types
Primary database modelTime Series DBMSRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Websiteblueflood.iowww.datomic.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.datomic.com
DeveloperRackspaceCognitectMicrosoftTeradata
Initial release2013201220122005
Current release1.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, Clojure
Server operating systemsLinux
OS X
All OS with a Java VMhostedLinux
Data schemepredefined schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsHTTP RESTRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesClojure
Java
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsnoR packages
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranone infoBut extensive use of caching in the application peersyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnono
User concepts infoAccess controlnonoAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
BluefloodDatomicMicrosoft Azure Table StorageTeradata Aster
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