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DBMS > DolphinDB vs. etcd vs. InfinityDB vs. Teradata Aster vs. TigerGraph

System Properties Comparison DolphinDB vs. etcd vs. InfinityDB vs. Teradata Aster vs. TigerGraph

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonetcd  Xexclude from comparisonInfinityDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed reliable key-value storeA Java embedded Key-Value Store which extends the Java Map interfacePlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSKey-value storeKey-value storeRelational DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.dolphindb.cometcd.io
github.com/­etcd-io/­etcd
boilerbay.comwww.tigergraph.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
boilerbay.com/­infinitydb/­manualdocs.tigergraph.com
DeveloperDolphinDB, IncBoiler Bay Inc.Teradata
Initial release2018200220052017
Current releasev2.00.4, January 20223.4, August 20194.0
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoJavaC++
Server operating systemsLinux
Windows
FreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinuxLinux
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesnoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nononoyes infoin Aster File Storeno
Secondary indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLSQL-like query languagenonoyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC
JSON over HTTP
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaC
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyesnonoR packagesyes
Triggersnoyes, watching key changesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilitynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnononono
User concepts infoAccess controlAdministrators, Users, Groupsnonofine grained access rights according to SQL-standardRole-based access control

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More resources
DolphinDBetcdInfinityDBTeradata AsterTigerGraph
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