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DBMS > Hypertable vs. IRONdb vs. Microsoft Access vs. RavenDB

System Properties Comparison Hypertable vs. IRONdb vs. Microsoft Access vs. RavenDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosoft 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.)Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeTime Series DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­accessravendb.net
Technical documentationdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­accessravendb.net/­docs
DeveloperHypertable Inc.Circonus LLC.MicrosoftHibernating Rhinos
Initial release2009201719922010
Current release0.9.8.11, March 2016V0.10.20, January 20181902 (16.0.11328.20222), March 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++C#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxWindows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyes infotext, numeric, histogramsyesno
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.no
Secondary indexesrestricted infoonly exact value or prefix value scansnoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standardSQL-like query language (RQL)
APIs and other access methodsC++ API
Thrift
HTTP APIADO.NET
DAO
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++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, in Luayes infosince Access 2010 using the ACE-engineyes
Triggersnonoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelconfigurable replication factor, datacenter awarenoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesDefault 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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
User concepts infoAccess controlnonono infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per database

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More resources
HypertableIRONdbMicrosoft AccessRavenDB
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