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DBMS > Apache Drill vs. FeatureBase vs. Microsoft Azure Table Storage

System Properties Comparison Apache Drill vs. FeatureBase vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonFeatureBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Websitedrill.apache.orgwww.featurebase.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdrill.apache.org/­docsdocs.featurebase.com
DeveloperApache Software FoundationMolecula and Pilosa Open Source ContributorsMicrosoft
Initial release201220172012
Current release1.20.3, January 20232022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemsLinux
OS X
Windows
Linux
macOS
hosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL queriesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Supported programming languagesC++Java
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlDepending on the underlying data sourceAccess rights based on private key authentication or shared access signatures

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More resources
Apache DrillFeatureBaseMicrosoft Azure Table Storage
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