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DBMS > Alibaba Cloud Table Store vs. Apache Druid vs. Databricks vs. Lovefield vs. Sequoiadb

System Properties Comparison Alibaba Cloud Table Store vs. Apache Druid vs. Databricks vs. Lovefield vs. Sequoiadb

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Druid  Xexclude from comparisonDatabricks  Xexclude from comparisonLovefield  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Embeddable relational database for web apps written in pure JavaScriptNewSQL database with distributed OLTP and SQL
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Document store
Relational DBMS
Relational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storedruid.apache.orgwww.databricks.comgoogle.github.io/­lovefieldwww.sequoiadb.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredruid.apache.org/­docs/­latest/­designdocs.databricks.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAlibabaApache Software Foundation and contributorsDatabricksGoogleSequoiadb Ltd.
Initial release20162012201320142013
Current release29.0.1, April 20242.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoApache 2.0Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemshostedLinux
OS X
Unix
hostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
Data schemeschema-freeyes infoschema-less columns are supportedFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL for queryingwith Databricks SQLSQL-like query language infovia JavaScript builder patternSQL-like query language
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesJava
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Python
R
Scala
JavaScript.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functions and aggregatesnoJavaScript
TriggersnonoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infousing MemoryDBno
User concepts infoAccess controlAccess rights based on subaccounts and tokensRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnosimple password-based access control
More information provided by the system vendor
Alibaba Cloud Table StoreApache DruidDatabricksLovefieldSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Alibaba Cloud Table StoreApache DruidDatabricksLovefieldSequoiadb
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