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DBMS > EJDB vs. GBase vs. Google Cloud Bigtable vs. LeanXcale vs. SingleStore

System Properties Comparison EJDB vs. GBase vs. Google Cloud Bigtable vs. LeanXcale vs. SingleStore

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLeanXcale  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)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.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeRelational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#331  Overall
#46  Document stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitegithub.com/­Softmotions/­ejdbwww.gbase.cncloud.google.com/­bigtablewww.leanxcale.comwww.singlestore.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcloud.google.com/­bigtable/­docsdocs.singlestore.com
DeveloperSoftmotionsGeneral Data Technology Co., Ltd.GoogleLeanXcaleSingleStore Inc.
Initial release20122004201520152013
Current releaseGBase 8a, GBase 8s, GBase 8c8.5, January 2024
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, Java, PythonC++, Go
Server operating systemsserver-lessLinuxhostedLinux info64 bit version required
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesnoyes
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.yesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoStandard with numerous extensionsnoyes infothrough Apache Derbyyes infobut no triggers and foreign keys
APIs and other access methodsin-process shared libraryADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
Java
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possibleyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Fine grained access control via users, groups and roles

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More resources
EJDBGBaseGoogle Cloud BigtableLeanXcaleSingleStore infoformer name was MemSQL
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