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DBMS > Drizzle vs. Graphite vs. Oracle Berkeley DB vs. Splice Machine vs. XTDB

System Properties Comparison Drizzle vs. Graphite vs. Oracle Berkeley DB vs. Splice Machine vs. XTDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonGraphite  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSplice Machine  Xexclude from comparisonXTDB infoformerly named Crux  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 storeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA general purpose database with bitemporal SQL and Datalog and graph queries
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 DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitegithub.com/­graphite-project/­graphite-webwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsplicemachine.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationgraphite.readthedocs.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsplicemachine.com/­how-it-workswww.xtdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerChris DavisOracle infooriginally developed by Sleepycat, which was acquired by OracleSplice MachineJuxt Ltd.
Initial release20082006199420142019
Current release7.2.4, September 201218.1.40, May 20203.1, March 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infocommercial license availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonC, Java, C++ (depending on the Berkeley DB edition)JavaClojure
Server operating systemsFreeBSD
Linux
OS X
Linux
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlynoyesyes, extensible-data-notation format
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 indexesyesnoyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infoSQL interfaced based on SQLite is availableyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCHTTP API
Sockets
JDBC
Native Spark Datasource
ODBC
HTTP REST
JDBC
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++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Server-side scripts infoStored proceduresnononoyes infoJavano
Triggersno infohooks for callbacks inside the server can be used.noyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replicationMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
DrizzleGraphiteOracle Berkeley DBSplice MachineXTDB infoformerly named Crux
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