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DBMS > Faircom DB vs. InfinityDB vs. NSDb vs. Tibero

System Properties Comparison Faircom DB vs. InfinityDB vs. NSDb vs. Tibero

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonInfinityDB  Xexclude from comparisonNSDb  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A Java embedded Key-Value Store which extends the Java Map interfaceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value store
Relational DBMS
Key-value storeTime Series DBMSRelational 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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.faircom.com/­products/­faircom-dbboilerbay.comnsdb.ious.tmaxsoft.com/­products/­tibero
Technical documentationdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlboilerbay.com/­infinitydb/­manualnsdb.io/­Architecturetechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperFairCom CorporationBoiler Bay Inc.TmaxSoft
Initial release1979200220172003
Current releaseV12, November 20204.06, April 2015
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialOpen Source infoApache Version 2.0commercial
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++JavaJava, ScalaC and Assembler
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VMLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema free, schema optional, schema required, partial schema,yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes: int, bigint, decimal, stringyes
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.nononoyes
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityall fields are automatically indexedyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsnoSQL-like query languageyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
gRPC
HTTP REST
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
JavaJava
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++nonoPersistent Stored Procedure (PSM)
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnoneShardinghorizontal partitioning infoby range, hash, list or composite
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).noneMulti-source replication
Source-replica replication
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 Consistency infoREAD-COMMITTED or SERIALIZEDEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono infoplanned for next version
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesnofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Faircom DB infoformerly c-treeACEInfinityDBNSDbTibero
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