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DBMS > AlaSQL vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Warp 10

System Properties Comparison AlaSQL vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Warp 10

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionJavaScript DBMS libraryDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSKey-value store
Wide column store
Time Series 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
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websitealasql.orgdgraph.iowww.esgyn.cncloud.google.com/­bigtablewww.warp10.io
Technical documentationgithub.com/­AlaSQL/­alasqldgraph.io/­docscloud.google.com/­bigtable/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAndrey Gershun & Mathias R. WulffDgraph Labs, Inc.EsgynGoogleSenX
Initial release20142016201520152015
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0commercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptGoC++, JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
LinuxhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes
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.nonononono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyesnono
APIs and other access methodsJavaScript APIGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Jupyter
WebSocket
Supported programming languagesJavaScriptC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoJava Stored Proceduresnoyes infoWarpScript
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnono infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AlaSQLDgraphEsgynDBGoogle Cloud BigtableWarp 10
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