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DBMS > Apache Impala vs. GridGain vs. Microsoft Azure SQL Database vs. Sequoiadb

System Properties Comparison Apache Impala vs. GridGain vs. Microsoft Azure SQL Database vs. Sequoiadb

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopGridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering with high compatibility to Microsoft SQL ServerNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSDocument store
Relational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Websiteimpala.apache.orgwww.gridgain.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sequoiadb.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sqlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGridGain Systems, Inc.MicrosoftSequoiadb Ltd.
Initial release2013200720102013
Current release4.1.0, June 2022GridGain 8.5.1V12
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial, open sourcecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .Net, Python, REST, SQLC++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
z/OS
hostedLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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.noyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLyesSQL-like query language
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)Transact SQLJavaScript
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)yes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standardsimple password-based access control

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More resources
Apache ImpalaGridGainMicrosoft Azure SQL Database infoformerly SQL AzureSequoiadb
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