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DBMS > Apache Impala vs. OrigoDB vs. Pinecone vs. Prometheus

System Properties Comparison Apache Impala vs. OrigoDB vs. Pinecone vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOrigoDB  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA fully ACID in-memory object graph databaseA managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Vector DBMSTime Series 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
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteimpala.apache.orgorigodb.comwww.pinecone.ioprometheus.io
Technical documentationimpala.apache.org/­impala-docs.htmlorigodb.com/­docsdocs.pinecone.io/­docs/­overviewprometheus.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRobert Friberg et alPinecone Systems, Inc
Initial release20132009 infounder the name LiveDB20192015
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Go
Server operating systemsLinuxLinux
Windows
hostedLinux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsString, Number, BooleanNumeric data only
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 infocan be achieved using .NETnono infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.NetPython.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynone
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
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 KerberosRole based authorizationno

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More resources
Apache ImpalaOrigoDBPineconePrometheus
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