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DBMS > Apache Impala vs. Geode vs. LevelDB

System Properties Comparison Apache Impala vs. Geode vs. LevelDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGeode  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelRelational DBMSKey-value storeKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Websiteimpala.apache.orggeode.apache.orggithub.com/­google/­leveldb
Technical documentationimpala.apache.org/­impala-docs.htmlgeode.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Google
Initial release201320022011
Current release4.1.0, June 20221.1, February 20171.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredIllumos
Linux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)no
APIs and other access methodsJDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsno
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights per client and object definableno

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Apache ImpalaGeodeLevelDB
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