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DBMS > Apache Impala vs. etcd vs. H2GIS vs. Kinetica

System Properties Comparison Apache Impala vs. etcd vs. H2GIS vs. Kinetica

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonetcd  Xexclude from comparisonH2GIS  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed reliable key-value storeSpatial extension of H2Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value storeSpatial DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websiteimpala.apache.orgetcd.io
github.com/­etcd-io/­etcd
www.h2gis.orgwww.kinetica.com
Technical documentationimpala.apache.org/­impala-docs.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.h2gis.org/­docs/­homedocs.kinetica.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSKinetica
Initial release201320132012
Current release4.1.0, June 20223.4, August 20197.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoLGPL 3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaC, C++
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
gRPC
JSON over HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infobased on H2user defined functions
Triggersnoyes, watching key changesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infobased on H2Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes infobased on H2Access rights for users and roles on table level

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More resources
Apache ImpalaetcdH2GISKinetica
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