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DBMS > Google Cloud Spanner vs. LMDB vs. Oracle vs. Prometheus vs. WakandaDB

System Properties Comparison Google Cloud Spanner vs. LMDB vs. Oracle vs. Prometheus vs. WakandaDB

Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonLMDB  Xexclude from comparisonOracle  Xexclude from comparisonPrometheus  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA 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 high performant, light-weight, embedded key-value database libraryWidely used RDBMSOpen-source Time Series DBMS and monitoring systemWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitecloud.google.com/­spannerwww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­databaseprometheus.iowakanda.github.io
Technical documentationcloud.google.com/­spanner/­docswww.lmdb.tech/­docdocs.oracle.com/­en/­databaseprometheus.io/­docswakanda.github.io/­doc
DeveloperGoogleSymasOracleWakanda SAS
Initial release20172011198020152012
Current release0.9.32, January 202423c, September 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialOpen Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++GoC++, JavaScript
Server operating systemshostedLinux
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes infoSchemaless in JSON and XML columnsyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011noyes infowith proprietary extensionsnono
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP/JSON APIRESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnonoPL/SQL infoalso stored procedures in Java possiblenoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneMulti-source replication
Source-replica replication
yes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono infocan be realized in PL/SQLnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationACIDACID infoisolation level can be parameterizednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardnoyes

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More resources
Google Cloud SpannerLMDBOraclePrometheusWakandaDB
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