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DBMS > Apache Impala vs. atoti vs. Galaxybase

System Properties Comparison Apache Impala vs. atoti vs. Galaxybase

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonatoti  Xexclude from comparisonGalaxybase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable, ACID-compliant native distributed parallel graph platform
Primary database modelRelational DBMSObject oriented DBMSGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Websiteimpala.apache.orgatoti.iogalaxybase.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.atoti.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaActiveViamChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司
Initial release20132017
Current release4.1.0, June 2022Nov 20, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC and Java
Server operating systemsLinuxLinux
Data schemeyesStrong typed schema
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsMultidimensional Expressions (MDX)no
APIs and other access methodsJDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBCGo
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonuser defined procedures and functions
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access control

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More resources
Apache ImpalaatotiGalaxybase
Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

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