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DBMS > BigObject vs. Microsoft Access vs. TimescaleDB vs. YottaDB

System Properties Comparison BigObject vs. Microsoft Access vs. TimescaleDB vs. YottaDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesMicrosoft 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.)A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitebigobject.iowww.microsoft.com/­en-us/­microsoft-365/­accesswww.timescale.comyottadb.com
Technical documentationdocs.bigobject.iodeveloper.microsoft.com/­en-us/­accessdocs.timescale.comyottadb.com/­resources/­documentation
DeveloperBigObject, Inc.MicrosoftTimescaleYottaDB, LLC
Initial release2015199220172001
Current release1902 (16.0.11328.20222), March 20192.15.0, May 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Docker
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresLuayes infosince Access 2010 using the ACE-engineuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
BigObjectMicrosoft AccessTimescaleDBYottaDB
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