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DBMS > Apache Drill vs. OrigoDB vs. SpaceTime vs. XTDB

System Properties Comparison Apache Drill vs. OrigoDB vs. SpaceTime vs. XTDB

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA fully ACID in-memory object graph databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Document store
Object oriented DBMS
Spatial DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitedrill.apache.orgorigodb.comwww.mireo.com/­spacetimegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdrill.apache.org/­docsorigodb.com/­docswww.xtdb.com/­docs
DeveloperApache Software FoundationRobert Friberg et alMireoJuxt Ltd.
Initial release20122009 infounder the name LiveDB20202019
Current release1.20.3, January 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourcecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++Clojure
Server operating systemsLinux
OS X
Windows
Linux
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes, extensible-data-notation format
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 infocan be achieved using .NETnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoA subset of ANSI SQL is implementedlimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP APIHTTP REST
JDBC
Supported programming languagesC++.NetC#
C++
Python
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationReal-time block device replication (DRBD)yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infoWrite ahead logyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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 sourceRole based authorizationyes

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More resources
Apache DrillOrigoDBSpaceTimeXTDB infoformerly named Crux
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
23 September 2019, Towards Data Science

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

provided by Google News



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