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DBMS > Google Cloud Datastore vs. H2GIS vs. LMDB vs. Machbase Neo vs. Sphinx

System Properties Comparison Google Cloud Datastore vs. H2GIS vs. LMDB vs. Machbase Neo vs. Sphinx

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonH2GIS  Xexclude from comparisonLMDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSpatial extension of H2A high performant, light-weight, embedded key-value database libraryTimeSeries DBMS for AIoT and BigDataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeSpatial DBMSKey-value storeTime Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitecloud.google.com/­datastorewww.h2gis.orgwww.symas.com/­symas-embedded-database-lmdbmachbase.comsphinxsearch.com
Technical documentationcloud.google.com/­datastore/­docswww.h2gis.org/­docs/­homewww.lmdb.tech/­docmachbase.com/­dbmssphinxsearch.com/­docs
DeveloperGoogleCNRSSymasMachbaseSphinx Technologies Inc.
Initial release20082013201120132001
Current release0.9.32, January 2024V8.0, August 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0Open Sourcecommercial infofree test version availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCCC++
Server operating systemshostedLinux
Unix
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesno
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.nononono
Secondary indexesyesyesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query language (GQL)yesnoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Proprietary protocol
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.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++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresusing Google App Engineyes infobased on H2nonono
TriggersCallbacks using the Google Apps Engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infobased on H2noneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2nosimple password-based access controlno

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More resources
Google Cloud DatastoreH2GISLMDBMachbase Neo infoFormer name was InfinifluxSphinx
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