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DBMS > Apache Impala vs. Google Cloud Bigtable vs. Hyprcubd vs. MariaDB

System Properties Comparison Apache Impala vs. Google Cloud Bigtable vs. Hyprcubd vs. MariaDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHyprcubd  Xexclude from comparisonMariaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Serverless Time Series DBMSMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score95.03
Rank#13  Overall
#9  Relational DBMS
Websiteimpala.apache.orgcloud.google.com/­bigtablehyprcubd.com (offline)mariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­bigtable/­docsmariadb.com/­kb/­en/­library
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleHyprcubd, Inc.MariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release201320152009 infoFork of MySQL, which was first released in 1995
Current release4.1.0, June 202211.3.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC and C++
Server operating systemsLinuxhostedhostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesschema-freeyesyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesnoyes infotime, int, uint, float, stringyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (https)ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes infoPL/SQL compatibility added with version 10.3
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingseveral options for horizontal partitioning and Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-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 (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes infonot for in-memory storage engine
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infowith MEMORY storage engine
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)token accessfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaGoogle Cloud BigtableHyprcubdMariaDB
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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More resources
Apache ImpalaGoogle Cloud BigtableHyprcubdMariaDB
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