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DBMS > Apache Impala vs. EJDB vs. Kinetica vs. Manticore Search vs. Newts

System Properties Comparison Apache Impala vs. EJDB vs. Kinetica vs. Manticore Search vs. Newts

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonEJDB  Xexclude from comparisonKinetica  Xexclude from comparisonManticore Search  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Fully vectorized database across both GPUs and CPUsMulti-storage database for search, including full-text search.Time Series DBMS based on Cassandra
Primary database modelRelational DBMSDocument storeRelational DBMSSearch engineTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.30
Rank#294  Overall
#44  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Websiteimpala.apache.orggithub.com/­Softmotions/­ejdbwww.kinetica.commanticoresearch.comopennms.github.io/­newts
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.kinetica.commanual.manticoresearch.comgithub.com/­OpenNMS/­newts/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSoftmotionsKineticaManticore SoftwareOpenNMS Group
Initial release20132012201220172014
Current release4.1.0, June 20227.1, August 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPLv2commercialOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC, C++C++Java
Server operating systemsLinuxserver-lessLinuxFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsJDBC
ODBC
in-process shared libraryJDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST
Java API
Supported programming languagesAll languages supporting JDBC/ODBCActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsuser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationSynchronous replication based on Galera libraryselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users and roles on table levelnono

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More resources
Apache ImpalaEJDBKineticaManticore SearchNewts
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