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DBMS > BigObject vs. DolphinDB vs. LevelDB vs. Netezza vs. RavenDB

System Properties Comparison BigObject vs. DolphinDB vs. LevelDB vs. Netezza vs. RavenDB

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDolphinDB  Xexclude from comparisonLevelDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesData warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series DBMSKey-value storeRelational DBMSDocument 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#333  Overall
#147  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitebigobject.iowww.dolphindb.comgithub.com/­google/­leveldbwww.ibm.com/­products/­netezzaravendb.net
Technical documentationdocs.bigobject.iodocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docs
DeveloperBigObject, Inc.DolphinDB, IncGoogleIBMHibernating Rhinos
Initial release20152018201120002010
Current releasev2.00.4, January 20221.23, February 20215.4, July 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree community version availableOpen Source infoBSDcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++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
Windows
Illumos
Linux
OS X
Windows
Linux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyesSQL-like query language (RQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
OLE DB
.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++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresLuayesnoyesyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnoneSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesyes
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 tablesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAdministrators, Users, GroupsnoUsers with fine-grained authorization conceptAuthorization levels configured per client per database

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More resources
BigObjectDolphinDBLevelDBNetezza infoAlso called PureData System for Analytics by IBMRavenDB
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