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DBMS > BigObject vs. Kdb vs. LevelDB vs. RavenDB

System Properties Comparison BigObject vs. Kdb vs. LevelDB vs. RavenDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesHigh performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMS
Vector DBMS
Key-value storeDocument store
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score3.01
Rank#101  Overall
#17  Document stores
Websitebigobject.iokx.comgithub.com/­google/­leveldbravendb.net
Technical documentationdocs.bigobject.iocode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docs
DeveloperBigObject, Inc.Kx Systems, a division of First Derivatives plcGoogleHibernating Rhinos
Initial release20152000 infokdb was released 2000, kdb+ in 200320112010
Current release3.6, May 20181.23, February 20215.4, July 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree 32-bit versionOpen Source infoBSDOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqC++C#
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.noyesno
Secondary indexesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)noSQL-like query language (RQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
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
Server-side scripts infoStored proceduresLuauser defined functionsnoyes
Triggersnoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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.
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnorights management via user accountsnoAuthorization levels configured per client per database
More information provided by the system vendor
BigObjectKdbLevelDBRavenDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
BigObjectKdbLevelDBRavenDB
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