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DBMS > Apache Drill vs. GeoMesa vs. Splice Machine

System Properties Comparison Apache Drill vs. GeoMesa vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonGeoMesa  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitedrill.apache.orgwww.geomesa.orgsplicemachine.com
Technical documentationdrill.apache.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlsplicemachine.com/­how-it-works
DeveloperApache Software FoundationCCRi and othersSplice Machine
Initial release201220142014
Current release1.20.3, January 20234.0.5, February 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnonedepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcedepending on storage layeryes
User concepts infoAccess controlDepending on the underlying data sourceyes infodepending on the DBMS used for storageAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DrillGeoMesaSplice Machine
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