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DBMS > Apache Impala vs. Blueflood vs. GeoSpock vs. GridGain vs. Tibero

System Properties Comparison Apache Impala vs. Blueflood vs. GeoSpock vs. GridGain vs. Tibero

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlueflood  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonTibero  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopScalable TimeSeries DBMS based on CassandraSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteimpala.apache.orgblueflood.iogeospock.comwww.gridgain.comus.tmaxsoft.com/­products/­tibero
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­rax-maas/­blueflood/­wikiwww.gridgain.com/­docs/­index.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRackspaceGeoSpockGridGain Systems, Inc.TmaxSoft
Initial release2013201320072003
Current release4.1.0, June 20222.0, September 2019GridGain 8.5.16, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava, JavascriptJava, C++, .NetC and Assembler
Server operating systemsLinuxLinux
OS X
hostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyespredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyesyes
Secondary indexesyesnotemporal, categoricalyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
HTTP RESTJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoyes (compute grid and cache interceptors can be used instead)Persistent Stored Procedure (PSM)
Triggersnononoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraAutomatic shardingShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on Cassandrayes (replicated cache)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nononoyesno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per tableSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Apache ImpalaBluefloodGeoSpockGridGainTibero
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