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DBMS > Faircom DB vs. HEAVY.AI vs. InfinityDB vs. OpenTSDB

System Properties Comparison Faircom DB vs. HEAVY.AI vs. InfinityDB vs. OpenTSDB

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfinityDB  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA Java embedded Key-Value Store which extends the Java Map interfaceScalable Time Series DBMS based on HBase
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#318  Overall
#48  Key-value stores
#141  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-dbgithub.com/­heavyai/­heavydb
www.heavy.ai
boilerbay.comopentsdb.net
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.heavy.aiboilerbay.com/­infinitydb/­manualopentsdb.net/­docs/­build/­html/­index.html
DeveloperFairCom CorporationHEAVY.AI, Inc.Boiler Bay Inc.currently maintained by Yahoo and other contributors
Initial release1979201620022011
Current releaseV12, November 20205.10, January 20224.0
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++ and CUDAJavaJava
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxAll OS with a Java VMLinux
Windows
Data schemeschema free, schema optional, schema required, partial schema,yesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnumeric data for metrics, strings for tags
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 indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsyesnono
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
Thrift
Vega
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Telnet API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
JavaErlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningSharding infoRound robinnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Multi-source replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnoACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesfine grained access rights according to SQL-standardnono

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More resources
Faircom DB infoformerly c-treeACEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfinityDBOpenTSDB
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