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DBMS > Altibase vs. Faircom DB vs. JanusGraph vs. Transwarp Hippo vs. YDB

System Properties Comparison Altibase vs. Faircom DB vs. JanusGraph vs. Transwarp Hippo vs. YDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSVector DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.05
Rank#386  Overall
#15  Vector DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitealtibase.comwww.faircom.com/­products/­faircom-dbjanusgraph.orgwww.transwarp.cn/­en/­subproduct/­hippogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmldocs.janusgraph.orgydb.tech/­en/­docs
DeveloperAltibaseFairCom CorporationLinux Foundation; originally developed as Titan by AureliusYandex
Initial release19991979201720232019
Current releasev7.3, 2023, August 2023V12, November 20200.6.3, February 20231.0, May 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infoRestricted, free version availableOpen Source infoApache 2.0commercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++JavaC++
Server operating systemsAIX
HP-UX
Linux
AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
OS X
Unix
Windows
Linux
macOS
Linux
Data schemeyesschema free, schema optional, schema required, partial schema,yesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyesVector, Numeric and 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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI SQL-92yes, ANSI SQL with proprietary extensionsnonoSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP APIRESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C++
Java
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
Clojure
Java
Python
C++
Java
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsyes info.Net, JavaScript, C/C++yesnono
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained access rights according to SQL-standard with additional protections for filesUser authentification and security via Rexster Graph ServerRole based access control and fine grained access rightsAccess rights defined for Yandex Cloud users

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More resources
AltibaseFaircom DB infoformerly c-treeACEJanusGraph infosuccessor of TitanTranswarp HippoYDB
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