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DBMS > LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. ReductStore vs. Trafodion

System Properties Comparison LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. ReductStore vs. Trafodion

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRavenDB  Xexclude from comparisonReductStore  Xexclude from comparisonTrafodion  Xexclude from comparison
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 valuesA Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Transactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeWide column storeDocument storeTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score2.84
Rank#101  Overall
#18  Document stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitegithub.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tablesravendb.netgithub.com/­reductstore
www.reduct.store
trafodion.apache.org
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docswww.reduct.store/­docstrafodion.apache.org/­documentation.html
DeveloperGoogleMicrosoftHibernating RhinosReductStore LLCApache Software Foundation, originally developed by HP
Initial release20112012201020232014
Current release1.23, February 20215.4, July 20221.9, March 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoBSDcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoBusiness Source License 1.1Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++, RustC++, Java
Server operating systemsIllumos
Linux
OS X
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nonono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnonoSQL-like query language (RQL)yes
APIs and other access methodsRESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonoyesJava Stored Procedures
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
LevelDBMicrosoft Azure Table StorageRavenDBReductStoreTrafodion
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