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DBMS > LevelDB vs. RavenDB vs. Titan vs. Trafodion

System Properties Comparison LevelDB vs. RavenDB vs. Titan vs. Trafodion

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeDocument storeGraph DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­google/­leveldbravendb.netgithub.com/­thinkaurelius/­titantrafodion.apache.org
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsgithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.html
DeveloperGoogleHibernating RhinosAurelius, owned by DataStaxApache Software Foundation, originally developed by HP
Initial release2011201020122014
Current release1.23, February 20215.4, July 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache license, version 2.0Open 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 languageC++C#JavaC++, Java
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyesyes
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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)noyes
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesyesJava Stored Procedures
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoAuthorization levels configured per client per databaseUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
LevelDBRavenDBTitanTrafodion
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