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DBMS > AlaSQL vs. Apache Phoenix vs. Google Cloud Bigtable vs. Graphite vs. HugeGraph

System Properties Comparison AlaSQL vs. Apache Phoenix vs. Google Cloud Bigtable vs. Graphite vs. HugeGraph

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Wide column store
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitealasql.orgphoenix.apache.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orgcloud.google.com/­bigtable/­docsgraphite.readthedocs.iohugegraph.apache.org/­docs
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationGoogleChris DavisBaidu
Initial release20142014201520062018
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaPythonJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
hostedLinux
Unix
Linux
macOS
Unix
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoNumeric 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.nonononono
Secondary indexesnoyesnonoyes infoalso supports composite index and range index
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnonono
APIs and other access methodsJavaScript APIJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresnouser defined functionsnonoasynchronous Gremlin script jobs
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Internal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesnovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency
Foreign keys infoReferential integrityyesnononoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes
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.yesyesnoyes
User concepts infoAccess controlnoAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noUsers, roles and permissions

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More resources
AlaSQLApache PhoenixGoogle Cloud BigtableGraphiteHugeGraph
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