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DBMS > Apache Impala vs. Graphite vs. MonetDB vs. RocksDB

System Properties Comparison Apache Impala vs. Graphite vs. MonetDB vs. RocksDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGraphite  Xexclude from comparisonMonetDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA relational database management system that stores data in columnsEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websiteimpala.apache.orggithub.com/­graphite-project/­graphite-webwww.monetdb.orgrocksdb.org
Technical documentationimpala.apache.org/­impala-docs.htmlgraphite.readthedocs.iowww.monetdb.org/­Documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaChris DavisMonetDB BVFacebook, Inc.
Initial release2013200620042013
Current release4.1.0, June 2022Dec2023 (11.49), December 20239.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonCC++
Server operating systemsLinuxLinux
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesno
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 indexesyesnoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
HTTP API
Sockets
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCJavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes, in SQL, C, Rno
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone infoSource-replica replication available in experimental statusyes
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 Kerberosnofine grained access rights according to SQL-standardno

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More resources
Apache ImpalaGraphiteMonetDBRocksDB
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