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DBMS > Apache Impala vs. Hazelcast vs. Hyprcubd vs. Ingres vs. OpenMLDB

System Properties Comparison Apache Impala vs. Hazelcast vs. Hyprcubd vs. Ingres vs. OpenMLDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonOpenMLDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopA widely adopted in-memory data gridServerless Time Series DBMSWell established RDBMSAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websiteimpala.apache.orghazelcast.comhyprcubd.com (offline)www.actian.com/­databases/­ingresopenmldb.ai
Technical documentationimpala.apache.org/­impala-docs.htmlhazelcast.org/­imdg/­docsdocs.actian.com/­ingresopenmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHazelcastHyprcubd, Inc.Actian Corporation4 Paradigm Inc.
Initial release201320081974 infooriginally developed at University Berkely in early 1970s2020
Current release4.1.0, June 20225.3.6, November 202311.2, May 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoCC++, Java, Scala
Server operating systemsLinuxAll OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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.noyes infothe object must implement a serialization strategynono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageSQL-like query languageyesyes
APIs and other access methodsJDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoEvent Listeners, Executor Servicesnoyesno
Triggersnoyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoReplicated MapIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controltoken accessfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache ImpalaHazelcastHyprcubdIngresOpenMLDB
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