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DBMS > Geode vs. JanusGraph vs. LevelDB vs. Lovefield

System Properties Comparison Geode vs. JanusGraph vs. LevelDB vs. Lovefield

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLevelDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesEmbeddable relational database for web apps written in pure JavaScript
Primary database modelKey-value storeGraph DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#133  Overall
#23  Key-value stores
Score1.91
Rank#135  Overall
#12  Graph DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websitegeode.apache.orgjanusgraph.orggithub.com/­google/­leveldbgoogle.github.io/­lovefield
Technical documentationgeode.apache.org/­docsdocs.janusgraph.orggithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Linux Foundation; originally developed as Titan by AureliusGoogleGoogle
Initial release2002201720112014
Current release1.1, February 20170.6.3, February 20231.23, February 20212.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoBSDOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++JavaScript
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Unix
Windows
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSQL-like query language (OQL)nonoSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Clojure
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyesnono
Triggersyes infoCache Event ListenersyesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infowith automatic compression on writesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDB
User concepts infoAccess controlAccess rights per client and object definableUser authentification and security via Rexster Graph Servernono

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More resources
GeodeJanusGraph infosuccessor of TitanLevelDBLovefield
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