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DBMS > Bangdb vs. CrateDB vs. FeatureBase vs. Oracle Rdb

System Properties Comparison Bangdb vs. CrateDB vs. FeatureBase vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCrateDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed Database based on LuceneReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitebangdb.comcratedb.comwww.featurebase.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.bangdb.comcratedb.com/­docsdocs.featurebase.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperSachin Sinha, BangDBCrateMolecula and Pilosa Open Source ContributorsOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2012201320171984
Current releaseBangDB 2.0, October 20212022, May 20227.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaGo
Server operating systemsLinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
HP Open VMS
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolyes, but no triggers and constraints, and PostgreSQL compatibilitySQL queriesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesC
C#
C++
Java
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Java
Python
Server-side scripts infoStored proceduresnouser defined functions (Javascript)
Triggersyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Configurable replication on table/partition-levelyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyyesyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes, using Linux fsyncyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenoyesno
User concepts infoAccess controlyes (enterprise version only)rights management via user accounts

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More resources
BangdbCrateDBFeatureBaseOracle Rdb
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