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DBMS > Apache Impala vs. atoti vs. BoltDB vs. GeoSpock

System Properties Comparison Apache Impala vs. atoti vs. BoltDB vs. GeoSpock

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonatoti  Xexclude from comparisonBoltDB  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embedded key-value store for Go.Spatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSObject oriented DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeTime Series DBMS
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
Score0.80
Rank#215  Overall
#31  Key-value stores
Websiteimpala.apache.orgatoti.iogithub.com/­boltdb/­boltgeospock.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.atoti.io
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaActiveViamGeoSpock
Initial release20132013
Current release4.1.0, June 20222.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availableOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoJava, Javascript
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonono
Secondary indexesyesnotemporal, categorical
SQL infoSupport of SQLSQL-like DML and DDL statementsMultidimensional Expressions (MDX)noANSI SQL for query only (using Presto)
APIs and other access methodsJDBC
ODBC
JDBC
Supported programming languagesAll languages supporting JDBC/ODBCGo
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoAccess rights for users can be defined per table

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More resources
Apache ImpalaatotiBoltDBGeoSpock
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