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DBMS > Bangdb vs. Google Cloud Bigtable vs. LevelDB vs. Microsoft Access vs. TempoIQ

System Properties Comparison Bangdb vs. Google Cloud Bigtable vs. LevelDB vs. Microsoft Access vs. TempoIQ

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Scalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Wide column store
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial 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
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitebangdb.comcloud.google.com/­bigtablegithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­accesstempoiq.com (offline)
Technical documentationdocs.bangdb.comcloud.google.com/­bigtable/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­access
DeveloperSachin Sinha, BangDBGoogleGoogleMicrosoftTempoIQ
Initial release20122015201119922012
Current releaseBangDB 2.0, October 20211.23, February 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoBSDcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++
Server operating systemsLinuxhostedIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnonoyesyes
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, geospatialnonoyes
SQL infoSupport of SQLSQL like support with command line toolnonoyes infobut not compliant to any SQL standardno
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineno
Triggersyes, Notifications (with Streaming only)nonoyes infosince Access 2010 using the ACE-engineyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Internal replication in Colossus, and regional replication between two clusters in different zonesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infowith automatic compression on writesyes infobut no files for transaction loggingyes
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 modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono infoa simple user-level security was built in till version Access 2003simple authentication-based access control

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More resources
BangdbGoogle Cloud BigtableLevelDBMicrosoft AccessTempoIQ infoformerly TempoDB
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