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DBMS > AlaSQL vs. Apache Druid vs. GeoSpock vs. Teradata Aster

System Properties Comparison AlaSQL vs. Apache Druid vs. GeoSpock vs. Teradata Aster

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonTeradata Aster  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial and temporal data processing engine for extreme data scalePlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Websitealasql.orgdruid.apache.orggeospock.com
Technical documentationgithub.com/­AlaSQL/­alasqldruid.apache.org/­docs/­latest/­design
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsGeoSpockTeradata
Initial release201420122005
Current release30.0.0, June 20242.0, September 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache license v2commercialcommercial
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 languageJavaScriptJavaJava, Javascript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
hostedLinux
Data schemeschema-freeyes infoschema-less columns are supportedyesFlexible 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 datenoyesyesyes
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 indexesnoyestemporal, categoricalyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL for queryingANSI SQL for query only (using Presto)yes
APIs and other access methodsJavaScript APIJDBC
RESTful HTTP/JSON API
JDBCADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJavaScriptClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoR packages
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesyes 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 systemnoneImmediate 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 datayes infoonly for local storage and DOM-storagenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlnoRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tablefine grained access rights according to SQL-standard

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More resources
AlaSQLApache DruidGeoSpockTeradata Aster
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