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DBMS > Drizzle vs. HugeGraph vs. InfluxDB vs. Lovefield vs. Tibero

System Properties Comparison Drizzle vs. HugeGraph vs. InfluxDB vs. Lovefield vs. Tibero

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonLovefield  Xexclude from comparisonTibero  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.A fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScriptA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSGraph DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefieldus.tmaxsoft.com/­products/­tibero
Technical documentationhugegraph.apache.org/­docsdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperDrizzle project, originally started by Brian AkerBaiduGoogleTmaxSoft
Initial release20082018201320142003
Current release7.2.4, September 20120.92.7.6, April 20242.1.12, February 20176, April 2015
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoJavaScriptC and Assembler
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Unix
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesyes
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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query languageSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C++
Java
PHP
Groovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptC
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsnonoPersistent Stored Procedure (PSM)
Triggersno infohooks for callbacks inside the server can be used.nonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlynonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor infoin enterprise version onlynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes infousing MemoryDBno infoplanned for next version
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionssimple rights management via user accountsnofine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
DrizzleHugeGraphInfluxDBLovefieldTibero
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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More resources
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