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DBMS > Apache Drill vs. Coveo vs. H2 vs. Splice Machine

System Properties Comparison Apache Drill vs. Coveo vs. H2 vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCoveo  Xexclude from comparisonH2  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.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
Search engineRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score2.28
Rank#114  Overall
#11  Search engines
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitedrill.apache.orgwww.coveo.comwww.h2database.comsplicemachine.com
Technical documentationdrill.apache.org/­docsdocs.coveo.comwww.h2database.com/­html/­main.htmlsplicemachine.com/­how-it-works
DeveloperApache Software FoundationCoveoThomas MuellerSplice Machine
Initial release2012201220052014
Current release1.20.3, January 20232.2.220, July 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC++C#
Java
JavaScript
Python
JavaC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Procedures and User-Defined Functionsyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
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 sourceyesyes
User concepts infoAccess controlDepending on the underlying data sourcegranular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache DrillCoveoH2Splice Machine
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