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DBMS > BigObject vs. Google Cloud Spanner vs. jBASE vs. KeyDB

System Properties Comparison BigObject vs. Google Cloud Spanner vs. jBASE vs. KeyDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonjBASE  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A robust multi-value DBMS comprising development tools and middlewareAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSMultivalue DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitebigobject.iocloud.google.com/­spannerwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.bigobject.iocloud.google.com/­spanner/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.keydb.dev
DeveloperBigObject, Inc.GoogleRocket Software (formerly Zumasys)EQ Alpha Technology Ltd.
Initial release2015201719912019
Current release5.7
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAIX
Linux
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalpartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nonoyesno
Secondary indexesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011Embedded SQL for jBASE in BASICno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
Basic
Jabbascript
Java
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresLuanoyesLua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelsimple password-based access control and ACL

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More resources
BigObjectGoogle Cloud SpannerjBASEKeyDB
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