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DBMS > LeanXcale vs. Microsoft Azure Table Storage vs. RethinkDB vs. Teradata Aster

System Properties Comparison LeanXcale vs. Microsoft Azure Table Storage vs. RethinkDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRethinkDB  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.
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA Wide Column Store for rapid development using massive semi-structured datasetsDBMS for the Web with a mechanism to push updated query results to applications in realtime.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Relational DBMS
Wide column storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.66
Rank#107  Overall
#20  Document stores
Websitewww.leanxcale.comazure.microsoft.com/­en-us/­services/­storage/­tablesrethinkdb.com
Technical documentationrethinkdb.com/­docs
DeveloperLeanXcaleMicrosoftThe Linux Foundation infosince July 2017Teradata
Initial release2015201220092005
Current release2.4.1, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
OS X
Windows
Linux
Data schemeyesschema-freeschema-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 dateyesyes infostring, binary, float, bool, date, geometryyes
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.nonoyes infoin Aster File Store
Secondary indexesnoyesyes
SQL infoSupport of SQLyes infothrough Apache Derbynonoyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoR packages
TriggersnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationyes 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 methodsnonoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.yesnonono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
LeanXcaleMicrosoft Azure Table StorageRethinkDBTeradata Aster
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