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DBMS > Apache Drill vs. Coveo vs. EventStoreDB vs. Hypertable vs. Kinetica

System Properties Comparison Apache Drill vs. Coveo vs. EventStoreDB vs. Hypertable vs. Kinetica

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCoveo  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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 developmentIndustrial-strength, open-source database solution built from the ground up for event sourcing.An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUs
Primary database modelDocument store
Relational DBMS
Search engineEvent StoreWide column storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitedrill.apache.orgwww.coveo.comwww.eventstore.comwww.kinetica.com
Technical documentationdrill.apache.org/­docsdocs.coveo.comdevelopers.eventstore.comdocs.kinetica.com
DeveloperApache Software FoundationCoveoEvent Store LimitedHypertable Inc.Kinetica
Initial release20122012201220092012
Current release1.20.3, January 202321.2, February 20210.9.8.11, March 20167.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen SourceOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++C#
Java
JavaScript
Python
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnonouser defined functions
Triggersnoyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono
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 sourceyes infoGPU vRAM or System RAM
User concepts infoAccess controlDepending on the underlying data sourcegranular access controls, API key management, content filtersnoAccess rights for users and roles on table level

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More resources
Apache DrillCoveoEventStoreDBHypertableKinetica
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