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DBMS > AlaSQL vs. Blazegraph vs. CrateDB vs. Google Cloud Spanner

System Properties Comparison AlaSQL vs. Blazegraph vs. CrateDB vs. Google Cloud Spanner

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBlazegraph  Xexclude from comparisonCrateDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionJavaScript DBMS libraryHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Distributed Database based on LuceneA 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.
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#264  Overall
#42  Document stores
#122  Relational DBMS
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score0.69
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#11  Vector DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Websitealasql.orgblazegraph.comcratedb.comcloud.google.com/­spanner
Technical documentationgithub.com/­AlaSQL/­alasqlwiki.blazegraph.comcratedb.com/­docscloud.google.com/­spanner/­docs
DeveloperAndrey Gershun & Mathias R. WulffBlazegraphCrateGoogle
Initial release2014200620132017
Current release2.1.5, March 20195.8.1, August 2024
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoextended commercial license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supporthosted
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or datenoyes infoRDF literal typesyesyes
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL is used as query languageyes, but no triggers and constraints, and PostgreSQL compatibilityyes infoQuery statements complying to ANSI 2011
APIs and other access methodsJavaScript APIJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
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
Supported programming languagesJavaScript.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesuser defined functions (Javascript)no
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesConfigurable replication on table/partition-levelMulti-source replication with 3 replicas for regional instances.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in Graphsnoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infoStrict serializable isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnoSecurity and Authentication via Web Application Container (Tomcat, Jetty)rights management via user accountsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
AlaSQLBlazegraphCrateDBGoogle Cloud Spanner
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