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(06/30/2017 San Ramon, CA) 捷豹数据库为企业提高核心竞争力

公司管理人员在美国信息技术领域从业二十多年,在多个公司多个行业做过大量的技术开发、设计、管理工作, 深深感触到数据库对任何一个企业的重要性。数据库是企业最有价值的资产,它包含了需要妥善保管的资产数据、 业务数据、以及历史数据。数据库的高效运行对企业的生存和发展是至关重要的因素。物联网和大数据时代产生的数据越来越多, 数据库的高效性能就越来越重要。没有一个好的数据库,企业就难以发展甚至最终会处于落后的地位。

高效快捷的捷豹数据库给客户直接带来的价值有:

  1. 收集信息的速度加快并且能够搜集更多信息。由于捷豹数据库的数据存入速度非常快, 在有限时间之内就可以录入更多数据,增加数据库的建设规模。信息量越大对企业就越有利, 信息能帮助企业做出最好的决策。在大数据时代数据是金矿,谁拥有数据,谁就拥有主动权。 一个有竞争力的企业会依据数据做决策, 让数据说话。 企业通过建立庞大的数据库系统, 搜集大量的数据,以各业务部门的业务目标为基础,依据数据为管理层决策提供支持, 为财务提升核心竞争力、优化资源配置、实施有效管控、提高服务水平和加速发展奠定良好的基础。
  2. 让企业能在发展过程中顺利扩大数据库规模,不会因为企业发展到一定程度就丢弃原来的数据库系统, 重新花费采购新的数据库系统。捷豹数据库能随着企业>扩大规模而进行增量扩展,成本可控, 并且只在有需求时进行扩容。这对企业的财务规划、财务报表都有巨大改善。 否则企业对数据库系统的投资就会造成浪费,资产投资回报率降低,影响企业的经济效益。
  3. 提高用户体验水平,增加竞争力。企业客户使用捷豹数据库后,会发现系统响应速度快, 用户体验感觉明显变好,用户对企业的粘度会提升,并且口碑相传,提升企业的品牌和知名度。 企业还可以开发新业务,以前因为数据库响应速度慢不能提供的业务,现在也能提供给用户, 让用户享受到多样化的满意服务。企业逐渐就会拥有更多忠实用户,进一步扩大市场份额。 <<阅读全文>>

(06/21/2017 San Ramon, CA) 捷豹数据库扩容速度提高10万倍

物联网大数据对数据库系统提出了很多严峻的挑战,例如要求数据库必须能实时地摄取大量数据,快速处理各种事件。 此类数据比企业内部的数据在数量上一般都多了几个数量级别。面对不断接收的数据,一个分布式数据库系统必须能够随时扩展, 以便存储更多的数据。

捷豹数据库解决了多年来数据库扩展的难题。从前大型分布式数据库的扩容扩展过程非常困难、非常耗时。 几十TB的数据在扩展过程中可能要花几十小时才能完成,而捷豹数据库不管数据量大小,几十TB、几百TB、或PB级别的数据, 在一秒之内即可完成,速度提高达到几十万倍,并且对系统的运行不会造成额外负担。捷豹数据的专有技术突破了分布式数据库扩展的瓶颈, 让大数据库扩展无限,这是一个划时代的革命性技术。捷豹数据库在未来的物联网领域、人工智能领域会发挥巨大作用。 <<阅读全文>>

美国国媒体对数据捷豹公司新闻报导

(06/01/2017 San Ramon, CA) 捷豹数据库实际体验

捷豹数据库到底有多强的能力? 让我们亲自动手实际体验一下吧。首先我们在实验室环境搭建一个由5个服务器组成的机群。 每个服务器配置是72G内存,2T磁盘,16核CPU,安装Centos6.7 操作系统,用1Gbps 网络路由器连接。 我们安装了捷豹数据库最新版本2.6.8.1, 同时也安装了当前市场上流行的Cassandra 数据库3.9版本,这样可以进行对比参照。 然后在捷豹数据库(Jaguar)和Cassandra数据库建立一个18字段的表,其中主键有20字节,其余有246字节。 建立表后,我们先后写入100万条数据记录和1000万条数据记录。数据录入后,我们再将其中一部分数据(50万条)查询出来。 在Cassandra和Jaguar写入数据时, 都把对方的数据清理干净, 免得所占资源造成影响。下面表格列出测试对比结果。

  写入数据   Cassandra   Jaguar
  1,000,000   1802 秒   105 秒
  10,000,000   18010 秒   1045 秒


数据写入时每一条记录都产生三份备份。Jaguar的用时相比之下少了很多,写入速度是Cassandra的18倍! 将数据写入之后,再把其中的50万数据查询出来,所花费的时间如下:

  Cassandra   Jaguar
  3604 秒   246 秒

从上面表格数据可以看出,Jaguar的数据查询也花费很少时间,速度是Cassandra的15倍!


不仅捷豹数据库将数据处理速度以数量级倍数提高,而且其简单易用易扩展。在此核心数据库产品基础上, 数据捷豹公司还整合现有其它大数据开源产品,例如Hadoop, Spark, Kafka, 深度学习算法等, 形成一套完整的大数据人工智能平台, 为物联网行业提供行之有效的解决方案。   <<阅读全文>>

Jaguar Releases 2.6.8

(05/26/2017 San Ramon, CA) Jaguar makes new release of Jaguar 2.6.8, which completed a critical feature for a production quality NoSQL database. Data is replicated with three copies on different servers to protect system from data loss. When accidents happen such as power failure, disk drive failure, or network disconnection, the Jaguar cluster will still operate and no data is lost. System also restores itself when the failed nodes are backup. This feature helps customers to keep their data safe from operation incidents.

Meetup Overview of NoSQL Databases

(04/19/2017 San Carlos, CA) In a DevOps meetup held in San Jose, DataJaguar CTO shared basics of NoSQL database and reviewed several NoSQL database products. NoSQL databases are increasingly used in big data and real-time web applications and smart city projects. NoSQL systems are also sometimes called "Not only SQL" to emphasize that they may support SQL-like query languages. Along with other database software, Jaguar was also presented to demonstrate its easy to use and operate advantages.





Meetup Showcase of JaguarDB

(02/28/2017 San Carlos, CA) DataJaguar CTO made introduction of Jaguar database at the Penisula NoSQL Meetup in Silicon Valley and had an overview of Jaguar database technology. Dozens of database admins, engineers attended the seminar and asked many questions. Some even skipped the Super Bowl to watch the webinar remotely from the web. The Penisular NoSQL meetup group consists of more than 300 IT professionals who work on or are interested in new NoSQL technology products.


Jaguar Releases 2.4.4

(10/20/2016 San Ramon, CA) Jaguar makes new release of Jaguar 2.4.4, which is a major milestone in the revolutionary Jaguar database development. Data ingestion speed reached record high -- 120 million records per hour on a 4-host cluster with real application data. Data ingestion speed is sustainable within a 16-hour period, and is expected to be sustainable independent of time. Even with such high insertion rate, the system consumed little memory of only 6GB to support 2 billion data records each of 248 bytes. The system has achieved scalability by dynamically adding more server hosts to the cluster and rebalancing of data.

Jaguar Releases 2.1.9

(06/08/2016 San Ramon, CA) Jaguar makes new release of Jaguar 2.1.9, which is a major milestone in the revolutionary Jaguar database development. Data and index information is fully distributed in multiple server hosts and a number of client API are provided. With its innovative SEA storage structure, Jaguar achieves high data ingestion rate and fast data search speed. The performance of Jaguar is linearly scalable in data processing without data bottleneck. Jaguar offers big advantage over traditonal NoSQL databases because the keys in Jaguar are globally sorted by order. This unique feature enables Jaguar to execute fast range search as well as relational query.

Jaguar Releases 2.1.8

(03/12/2016 San Ramon, CA) Jaguar makes new release of Jaguar 2.1.8, which has included 49 new functions and optimized data operations that can reach 100,000 IOPS on a single server. Repeated tests have shown its performance is even better and more stable than well-known in-memory databases. Upon hundreds of concurrent client data requests, query and update speed is faster than the in-memory database. In a clustered enviroment, Jaguar can scale-linearly and reach 100 millions per second. Jaguar is poised to meet the demand from the explosive IoT industry where high-volume and high-velocity data is generated and collected.

Jaguar Joins Ustartx

(11/03/2015 Meno Park, CA) Jaguar team was selected among hundreds of startups to join UstartX startup acceleration incubation program. UStartx, located at 3000 Sand Hill Rd., Menlo Park, CA is help high-potential startup founders to accelerate their dreams and change the world for better. Jaguar accepted and graduated from the fruitful startup class in the UStartX Design Thinking training camp.


Jaguar Supports Spark Now

(09/21/2015 San Ramon, CA) Jaguar now is supporting Apache Spark for big data analytics in the release of Jaguar 2.0.6. Spark is one of the fastest growing big data platforms in big data computing. With its memory efficient and parallel architecture, Spark has emerged as a popular distributed computing framework. Jaguar, by its support of JDBC interface, can index large volume of data and feed source data to Spark with fast IO operations. Jaguar, acting as a fast data IO engine to Spark, provides lightning speed of big data computing.

DataJaguar Announces Jaguar 2.0 Release

(08/01/2015 San Ramon, CA) Massively scalable data platform Jaguar 2.0 has been released today. Data can be stored on thouands of storage servers and indexes of the data are built along with the ingestion of the data. Jaguar uses the simplest data model: array. All data items are placed in a huge flat array sorted by its primary keys. Also secondary-indexes are maintained as data is updated in the data array. The indexes are also stored in arrays.

In a complex distributed enviroment, data is still logically presented as an array to the user. From the perspective of users or programmers, a table is just an array of sorted data items, and so is an index. Physically the table is striped over a number of hosts in the cluster. Jaguar allows programmers to directly access the underlying data structure. Jaguar offers a powerful platform to conduct map-reduce as well as non-mapreduce tasks over large amount of data that are sorted, indexed, stored over hundreds or even thousands of computer hosts.


DataJaguar Announces Jaguar 1.0 Release

(05/31/2015 San Ramon, CA) After six months of hard work on Jaguar, we are proud to announce Jaguar 1.0, the next-generation computing engine that delivers high-performance in querying and computing of data.

Some key features of Jaguar are:
  • High Performance: 5,000,000 per minute data ingestion and indexing building at the same time. High performance of data write allows storing data at high velocity.
  • Fast Join: joining of multiple tables at the same time, and at high speed because of fast merge join operation of the unique array-indexed tables.
  • Configurable memory usage: easy configuration of memory usage for fast data load and table join in environments where DRAM resources can be leveraged.
  • More client binding: In addition to C binding, Java and JDBC client API are provided. Any Java application can call native Java API or JDBC to query the fast Jaguar server.
  • Semi-structured data support: Keys in a table have a schema, but the value fields in a table are schema-less. This feature allows flexible storage of non-structured data as well as fast lookup of key data.

We will continue to improve our product and make Jaguar scalable. Future work will include integration of our fast indexing engine with big data platforms to offer a spectrum of computing functionality.

JaguarDB is awarded First Place Prize

(04/16/2015 Livermore, CA) IGate helps startups in tri-valley to grow. On Thursday April 16th, a killer panel of Bay Area angel investors heard pitches from eight selected startups in various high-tech industries. After two hours presentation, ArrayDB was awarded the First Place Winner in the investor pitch night. DataJaguar is honored to receive such an award and thanks the judges for the encouragement. IGate Investor pitch GoLive


IT Times Weekly Magazine Reports DataJaguar

(03/09/2015 San Ramon, CA) IT Time Weekly Journal and Web are the mostly influential media covering IT industry in China. In the past decades, its readhership has expanded to ten of millions of professionals. DataJaguar has been reported and covered in its multiple media platforms including wechat, weibo, web site, and printed journals. See the Full Article


China Business News Reports DataJaguar

(02/26/2015 San Ramon, CA) China Business News journal interviewed and reported team members of DataJaguar Inc. on Feb 26, 2015 at the office of China Business News in San Ramon, California. Reporters of the well-known business journal talked to us and reported the revolutionary 40-year technology break-through in big data processing. Full article is here (fourth page): PDF file of the weekly journal


SVIEF Innovation Award

(09/27/2014 Santa Clara, CA) SVIEF is looking for technological breakthroughs in areas such as Mobile Internet/Gaming, wearable tech, 3D printing, robotics, health Care IT, New Energy, software, hardware/semiconductor, and other emerging technologies, etc. Innovations should go far beyond marginal improvements in existing products and services. Winners will be chosen by an independent panel of judges. DataJaguar big data technology has been awarded the top 30 most innovative technology. (9/27/2014)


Startup Contest Award

(08/16/2014 Santa Clara, CA) SVIEF Start-up Contest is a chapter of Silicon Valley Technology Innovation and Entrepreneurship Forum (SVIEF) annual conference. Its main purpose is to cater to the needs of the rising start-up business, by bridging both US and China with efficient platform for communication and networking, beneficial innovative start-up environment and information sharing, diverse cross-strait partnership on technology, talent, capital, and market, etc., and integrate venture capital and high-tech industry. DataJaguar partiticipated the SVIEF startup contest and is the only enterprise software awardee among the top 25 innovative startups. (8/16/2014)



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