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DBMS > Drizzle vs. Graphite vs. Oracle Berkeley DB vs. Vertica

System Properties Comparison Drizzle vs. Graphite vs. Oracle Berkeley DB vs. Vertica

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGraphite  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperWidely used in-process key-value storeCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitegithub.com/­graphite-project/­graphite-webwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.vertica.com
Technical documentationgraphite.readthedocs.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlvertica.com/­documentation
DeveloperDrizzle project, originally started by Brian AkerChris DavisOracle infooriginally developed by Sleepycat, which was acquired by OracleOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2008200619942005
Current release7.2.4, September 201218.1.40, May 202012.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infocommercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsFreeBSD
Linux
OS X
Linux
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeyesyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesNumeric data onlynoyes
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infoSQL interfaced based on SQLite is availableFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBCHTTP API
Sockets
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C++
Java
PHP
JavaScript (Node.js)
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnononoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersno infohooks for callbacks inside the server can be used.noyes infoonly for the SQL APIyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes
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.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
DrizzleGraphiteOracle Berkeley DBVertica infoOpenText™ Vertica™
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