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DBMS > EJDB vs. Faircom DB vs. GBase vs. Google Cloud Bigtable

System Properties Comparison EJDB vs. Faircom DB vs. GBase vs. Google Cloud Bigtable

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Websitegithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-dbwww.gbase.cncloud.google.com/­bigtable
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlcloud.google.com/­bigtable/­docs
DeveloperSoftmotionsFairCom CorporationGeneral Data Technology Co., Ltd.Google
Initial release2012197920042015
Current releaseV13, July 2024GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoGPLv2commercial infoRestricted, free version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCANSI C, C++C, Java, Python
Server operating systemsserver-lessAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linuxhosted
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes, ANSI SQL Types, JSON, typed binary structuresyesno
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.noyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsStandard with numerous extensionsno
APIs and other access methodsin-process shared libraryADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
ADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++user defined functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).yesInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanotunable from ACID to Eventually ConsistentACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoFine grained access rights according to SQL-standard with additional protections for filesyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
EJDBFaircom DB infoformerly c-treeACEGBaseGoogle Cloud Bigtable
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