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DBMS > Hypertable vs. Immudb vs. IRONdb vs. OpenEdge vs. Sphinx

System Properties Comparison Hypertable vs. Immudb vs. IRONdb vs. OpenEdge vs. Sphinx

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonImmudb  Xexclude from comparisonIRONdb  Xexclude from comparisonOpenEdge  Xexclude from comparisonSphinx  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 HadoopAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityApplication development environment with integrated database management systemOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeKey-value storeTime Series DBMSRelational DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#305  Overall
#43  Key-value stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­codenotary/­immudb
immudb.io
www.circonus.com/solutions/time-series-database/www.progress.com/­openedgesphinxsearch.com
Technical documentationdocs.immudb.iodocs.circonus.com/irondb/category/getting-starteddocumentation.progress.com/­output/­ua/­OpenEdge_latestsphinxsearch.com/­docs
DeveloperHypertable Inc.CodenotaryCirconus LLC.Progress Software CorporationSphinx Technologies Inc.
Initial release20092020201719842001
Current release0.9.8.11, March 20161.2.3, April 2022V0.10.20, January 2018OpenEdge 12.2, March 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC and C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
BSD
Linux
macOS
Solaris
Windows
z/OS
LinuxAIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
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.nonoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like syntaxSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoclose to SQL 92SQL-like query language (SphinxQL)
APIs and other access methodsC++ API
Thrift
gRPC protocol
PostgreSQL wire protocol
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Progress proprietary ABL (Advanced Business Language)C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyes, in Luayesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodehorizontal partitioning infosince Version 11.4Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnonoUsers and groupsno

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More resources
HypertableImmudbIRONdbOpenEdgeSphinx
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