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DBMS > Bangdb vs. Google Cloud Spanner vs. RavenDB vs. TimesTen

System Properties Comparison Bangdb vs. Google Cloud Spanner vs. RavenDB vs. TimesTen

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRavenDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series 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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitebangdb.comcloud.google.com/­spannerravendb.netwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.bangdb.comcloud.google.com/­spanner/­docsravendb.net/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperSachin Sinha, BangDBGoogleHibernating RhinosOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201720101998
Current releaseBangDB 2.0, October 20215.4, July 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#
Server operating systemsLinuxhostedLinux
macOS
Raspberry Pi
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyes infoQuery statements complying to ANSI 2011SQL-like query language (RQL)yes
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful 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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Java
Python
Go
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyesPL/SQL
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication with 3 replicas for regional instances.Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate 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 or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoby means of logfiles and checkpoints
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 modenoyes
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
BangdbGoogle Cloud SpannerRavenDBTimesTen
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