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DBMS > Apache Drill vs. FatDB vs. OpenTSDB vs. SQream DB

System Properties Comparison Apache Drill vs. FatDB vs. OpenTSDB vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonFatDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSQream DB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA .NET NoSQL DBMS that can integrate with and extend SQL Server.Scalable Time Series DBMS based on HBasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websitedrill.apache.orgopentsdb.netsqream.com
Technical documentationdrill.apache.org/­docsopentsdb.net/­docs/­build/­html/­index.htmldocs.sqream.com
DeveloperApache Software FoundationFatCloudcurrently maintained by Yahoo and other contributorsSQream Technologies
Initial release2012201220112017
Current release1.20.3, January 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoLGPLcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#JavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
WindowsLinux
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnumeric data for metrics, strings for tagsyes, ANSI Standard SQL Types
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.nono
Secondary indexesnoyesnono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantno infoVia inetgration in SQL Servernoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
Telnet API
.Net
JDBC
ODBC
Supported programming languagesC++C#Erlang
Go
Java
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyes infovia applicationsnouser defined functions in Python
Triggersnoyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBasehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceno
User concepts infoAccess controlDepending on the underlying data sourceno infoCan implement custom security layer via applicationsno

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More resources
Apache DrillFatDBOpenTSDBSQream DB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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Apache Drill case study: A tutorial on processing CSV files
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Analyse Kafka messages with SQL queries using Apache Drill
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