蟑螂实验室
成立一年
2015阶段
F系列 |活着总了
632.85美元估值
0000美元最后提出了
278美元 1年前收入
0000美元与蟑螂实验室?
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蟑螂实验室的产品和差异化
CockroachDB Serverless
完全管理,自主的CockroachDB集群非常适合启动项目和评估
蟑螂实验室的研究
从CB Insights情报部门获得数据驱动的专家分析。德赢体育vwin官方网站
德赢体育vwin官方网站CB Insights情报分析师在1 德赢体育vwin官方网站CB Insights研究简报,最近在2020年6月10日.
2020年6月10日报告
50个未来的独角兽专家收藏包括蟑螂实验室
专家收藏是由分析师策划的列表,突出了你在最重要的技术领域需要了解的公司。
蟑螂实验室包括在3专家收藏,包括独角兽——十亿美元的创业公司.
独角兽——十亿美元的创业公司
1203件
科技公司IPO计划
282件
跟踪和获取公司信息和工作流程。
2019年未来独角兽
50项
最新的蟑螂实验室新闻
2022年12月13日
蟑螂实验室宣布发布了蟑螂db 22.2,它提供了新的功能来提高效率。蟑螂实验室发布了CorckroachDB22.2,它提供了旨在提高开发人员和操作人员效率的新功能。CockroachDB 22.2提供了用户定义的函数,这将提高开发效率,降低应用程序的复杂性,并简化数据库迁移。CockroachDB的udf为称为CockroachDB分布式函数的新功能类别奠定了基础。作为云原生分布式SQL数据库CockroachDB的创建者,蟑螂实验室发布了CockroachDB 22.2。新版本提供了新的功能,以提高开发人员和操作员的效率,简化数据密集型应用程序的架构,使团队更容易迁移遗留技术。它处理更多的业务逻辑,使开发人员和运营商的日常生活更轻松。CockroachDB 22.2引入了备受期待的用户定义函数,其重点是提高开发效率、降低应用程序复杂性和简化数据库迁移。udf,现在是预览版,扩展了CockroachDB的PostgreSQL兼容性。它还支持将具有功能的遗留工作负载更直接地迁移到CockroachDB,使组织能够现代化其应用程序。 The new feature also provides the groundwork for a new category of capabilities called CockroachDB Distributed Functions. It provides compatibility with PostgreSQL functions and is architected to support distributed, horizontally scalable applications. Cockroach Labs has released several updates that further automate and simplify database operations. These new capabilities let CockroachDB customers: Streamline Application Development Migrate more easily from Oracle, MySQL, SQL Server – the company’s Schema Conversion Tool now supports migration from these databases in addition to PostgreSQL Connect to CockroachDB with a REST API using new support for PostgREST Connect to CockroachDB with a GraphQL API using new support for Hasura Execute fast text search and fuzzy matches with trigram indexes, a popular Postgres extension Set an expiration timeline for data with Time-to-Live (TTL), a popular feature typically found in NoSQL databases Move Data Between Systems More Efficiently Simplify event-driven applications and data analytics pipelines with Change Data Capture (CDC) Transformations, which allow developers to run queries on CDC feeds to extract only the data they need and transform the data upfront before streaming to other systems Improve Performance Without Downtime and Without Being a Database Expert Optimize and troubleshoot workload performance with Intelligent Insights, a new end-to-end monitoring experience that provides actionable fixes from the UI, which developers can apply with a single click in production without downtime Test adding and dropping indexes without impacting live query performance with Invisible Indexes Protect Data From Outages and Disasters Ensure good performance in the face of cloud region outages with secondary regions, which let operators specify which region their data fails over to in multi-region clusters Test and validate backup and restore more easily Satisfy Enterprise Security and Compliance Best Practices Secure cloud clusters with private IPs and controls on where data is allowed to be sent externally Centralized authentication to clusters with SSO from enterprise identity and access managers Audit logs from database-level behavior in the web console Nate Stewart, Chief Product Officer at Cockroach Labs Nate Stewart, Chief Product Officer at Cockroach Labs said, « By partnering closely with our customers as they build scalable, resilient, and low-latency applications, we’ve put together a release that is a leap forward in CockroachDB’s capabilities. CockroachDB 22.2 streamlines application development, helps developers quickly troubleshoot performance issues at any scale, and significantly brings down the cost of powering event-driven architectures. » Erdem Yasar is a news editor at Cloud7 News. Erdem started his career by writing video game reviews in 2007 for PC World magazine while he was studying computer engineering. In the following years, he focused on software development with various programming languages. After his graduation, he continued to work as an editor for several major tech-related websites and magazines. During the 2010s, Erdem Yasar shifted his focus to cloud computing, hosting, and data centers as they were becoming more popular topics in the tech industry. Erdem Yasar also worked with various industry-leading tech companies as a content creator by writing blog posts and other articles. Prior to his role at Cloud7 News, Erdem was the managing editor of T3 Magazine. Leave a Reply
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蟑螂实验室排名
蟑螂实验室常见问题
蟑螂实验室是什么时候成立的?
蟑螂实验室成立于2015年。
蟑螂实验室的总部在哪里?
蟑螂实验室的总部位于纽约西25街125号。
蟑螂实验室的最新一轮融资是什么?
蟑螂实验室的最新一轮融资是F轮。
蟑螂实验室筹集了多少资金?
蟑螂实验室总共筹集了6.3285亿美元。
蟑螂实验室的投资人是谁?
蟑螂实验室的投资者包括FirstMark Capital、Benchmark、谷歌Ventures、Index Ventures、Redpoint Ventures等14家公司。
蟑螂实验室的竞争对手是谁?
蟑螂实验室的竞争对手包括SingleStore、DataStax、Starburst、YugaByte、Couchbase等9家公司。
蟑螂实验室提供什么产品?
蟑螂实验室的产品包括CockroachDB Serverless和另外两种。
蟑螂实验室的客户是谁?
蟑螂实验室的客户包括Form3、Shipt和Nubank。
比较蟑螂实验室和竞争对手
![时间尺度的标志](http://www.faresthatrock.com/images/twitter/profile_images/1542681228666671107/L5LYJLAD_normal.png)
Timescale是一个开源的时间序列数据库,专门为易于使用和复杂查询而设计,与Postgres完全兼容。该公司专注于与机器数据和物联网相关的开发人员和企业。该公司成立于2015年,总部位于纽约州纽约。
![Leafcloud标志](http://www.faresthatrock.com/images/twitter/profile_images/1305526166120472577/MhOvJmP1_normal.png)
Leafcloud是一家专注于提供清洁绿色能源的云服务提供商。它的数据中心至少有50%的能源被重复利用。Leafcloud能够重复利用服务器产生的热量,这大大提高了能源效率。
![nyris标志](http://www.faresthatrock.com/images/twitter/profile_images/1393193867520925699/15k9rHC4_normal.jpg)
Nyris是一个图像搜索引擎,被用作软件即服务,特别是在贸易和工业。Nyris使用了广泛的图像识别技术,包括人工智能和神经网络,结果在不到一秒的时间内显示出来。
![CloudHedge标志](http://www.faresthatrock.com/images/twitter/profile_images/1573487418619334658/Dbml7Y9__normal.png)
CloudHedge使用人工智能来分析现有的应用程序,并自动推荐和转换单体应用程序到云原生。该公司不仅支持Lift-Shift模型,而且还可以自动重构和容器化。
![SingleStore标志](http://www.faresthatrock.com/images/twitter/profile_images/1455182688713908225/fU37bkqW_normal.jpg)
SingleStore提供了一个可扩展的内存数据库,在保持SQL和ACID一致性的同时提供了速度和吞吐量优势。通过为内存数据层提供一个熟悉的关系接口,SingleStore为开发人员提供了网络规模的公司用来处理大量流量和增长的技术。SingleStore在读写性能方面提供了数量级的改进,并简化了应用程序的开发和维护。它以前被称为MemSQL。该公司成立于2011年,总部位于加利福尼亚州旧金山。
![FriendliAI标志](http://www.faresthatrock.com/images/twitter/profile_images/1524533860226469888/pdbtA3rR_normal.jpg)
FriendliAI加速了定制的大规模AI模型开发,以便更多的公司能够高效和可扩展地使用先进的AI应用程序。其平台PeriFlow是一种可靠、快速、高效的服务,用户可以根据自己选择的任何数据训练自己的大规模人工智能模型。
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