数据库产品

总结收集当前数据库领域的数据库产品。

关系型数据库
分析型数据库领域:Greenplum

非关系型数据库(NoSQL)
非关系型数据库的四种主要形式:文档、键值对、图、列式,其他还包括矩阵式(科学数据库)、时间序列数据库、支持全球分布式事务数据库
文档式数据库:MongoDB
键值对数据库:Redis 
图数据库:Neo4j 
列式数据库:HBaseCassandra 
阵列数据库:SciDB 
时间序列数据库:OpenTSDBBluefloodkairosDBinfluxDB 
支持全球分布式事务数据库:SpannerTiDB 

Google

LevelDB 

LevelDB is a fast key-value storage engine written at Google that provides an ordered mapping from string keys to string values. 

Spanner

Cloud Spanner is the world's first fully managed relational database service to offer both strong consistency and horizontal scalability for mission-critical online transaction processing (OLTP) applications. With Cloud Spanner you enjoy all the traditional benefits of a relational database; but unlike any other relational database service, Cloud Spanner scales horizontally to hundreds or thousands of servers to handle the biggest transactional workloads.

Microsoft

Cosmos DB 

Azure Cosmos DB is Microsoft's globally distributed, multi-model database. With the click of a button, Azure Cosmos DB enables you to elastically and independently scale throughput and storage across any number of Azure's geographic regions. It offers throughput, latency, availability, and consistency guarantees with comprehensive service level agreements (SLAs), something no other database service can offer.

SAP

HANA 

SAP HANA is an in-memory data platform that lets you accelerate business processes, deliver more business intelligence, and simplify your IT environment. By providing the foundation for all your data needs, SAP HANA removes the burden of maintaining separate legacy systems and siloed data, so you can run live and make better business decisions in the new digital economy.

阿里

OceanBase 

云数据库OceanBase是一款阿里巴巴自主研发的高性能、分布式的关系型数据库,支持完整的ACID特性。它高度兼容MySQL协议与语法,让用户能够以最小的迁移成本使用高性能、可扩展、持续可用的分布式数据库服务,同时对用户数据提供金融级可靠性的保障。

华为

CarbonData

Apache CarbonData is an indexed columnar data format for fast analytics on big data platform, e.g.Apache Hadoop, Apache Spark, etc.

AWS

Redshift 

Amazon Redshift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools. It allows you to run complex analytic queries against petabytes of structured data, using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution.

Apache

Impala 

Impala provides fast, interactive SQL queries directly on your Apache Hadoop data stored in HDFS, HBase, or the Amazon Simple Storage Service (S3). In addition to using the same unified storage platform, Impala also uses the same metadata, SQL syntax (Hive SQL), ODBC driver, and user interface (Impala query UI in Hue) as Apache Hive. This provides a familiar and unified platform for real-time or batch-oriented queries.

Impala is an addition to tools available for querying big data. Impala does not replace the batch processing frameworks built on MapReduce such as Hive. Hive and other frameworks built on MapReduce are best suited for long running batch jobs, such as those involving batch processing of Extract, Transform, and Load (ETL) type jobs.

Drill 

Drill is an Apache open-source SQL query engine for Big Data exploration. Drill is designed from the ground up to support high-performance analysis on the semi-structured and rapidly evolving data coming from modern Big Data applications, while still providing the familiarity and ecosystem of ANSI SQL, the industry-standard query language. Drill provides plug-and-play integration with existing Apache Hive and Apache HBase deployments.

HAWQ 

其他

Spark

Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Spark Streaming for stream processing.

db-engines 
NoSQL 

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