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DBMS > Apache Impala vs. Graph Engine vs. Prometheus vs. SpaceTime

System Properties Comparison Apache Impala vs. Graph Engine vs. Prometheus vs. SpaceTime

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonPrometheus  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpen-source Time Series DBMS and monitoring systemSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSGraph DBMS
Key-value store
Time Series DBMSSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Websiteimpala.apache.orgwww.graphengine.ioprometheus.iowww.mireo.com/­spacetime
Technical documentationimpala.apache.org/­impala-docs.htmlwww.graphengine.io/­docs/­manualprometheus.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftMireo
Initial release2013201020152020
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++.NET and CGoC++
Server operating systemsLinux.NETLinux
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIRESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
F#
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoby FederationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
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 Kerberosnoyes

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More resources
Apache ImpalaGraph Engine infoformer name: TrinityPrometheusSpaceTime
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Apache Impala 4 Supports Operator Multi-Threading
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Apache Impala becomes Top-Level Project
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