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DBMS > AlaSQL vs. Amazon Neptune vs. Drizzle vs. Stardog vs. TigerGraph

System Properties Comparison AlaSQL vs. Amazon Neptune vs. Drizzle vs. Stardog vs. TigerGraph

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonDrizzle  Xexclude from comparisonStardog  Xexclude from comparisonTigerGraph  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryFast, reliable graph database built for the cloudMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMSGraph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitealasql.orgaws.amazon.com/­neptunewww.stardog.comwww.tigergraph.com
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesdocs.stardog.comdocs.tigergraph.com
DeveloperAndrey Gershun & Mathias R. WulffAmazonDrizzle project, originally started by Brian AkerStardog-Union
Initial release20142017200820102017
Current release7.2.4, September 20127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++JavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedFreeBSD
Linux
OS X
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoImport/export of XML data possibleno
Secondary indexesnonoyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsYes, compatible with all major SQL variants through dedicated BI/SQL ServerSQL-like query language (GSQL)
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBCGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
PHP
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnononouser defined functions and aggregates, HTTP Server extensions in Javayes
Triggersyesnono infohooks for callbacks inside the server can be used.yes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication
Source-replica replication
Multi-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Pluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesRole-based access control

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More resources
AlaSQLAmazon NeptuneDrizzleStardogTigerGraph
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