NoSQL market: All content tagged as NoSQL market in NoSQL databases and polyglot persistence
Couple of things I don’t see mentioned in the RedMonk post:
if and how data has been normalized based on each connector availability
According to the post data has been collected between Jan.2011-Mar.2012 and I think that not all connectors have been available since the beginning of the period.
if and how marketing pushes for each connectors have been weighed in
Announcing the Hadoop connector at an event with 2000 attendees or the MongoDB connector at an event with 800 attendeed could definitely influence the results (nb: keep in mind that the largest number is less than 7000, thus 200-500 downloads triggered by such an event have a significant impact)
Redis and VoltDB are mostly OLTP only databases
Original title and link: NoSQL Databases Adoption in Numbers ( ©myNoSQL)
But some early adopters of Hadoop now say using the technology is challenging and rolling it out will take time.
Mr. Boroditsky says Hadoop is “immature” and comes with additional costs of hiring in-house expertise and consultants. “There is a very substantial cost to free software,” he says, declining to comment on dollar figures.
I’m starting to believe that the “Hadoop has problems and is complex” chorus is a vendor reaction very similar to the reaction they had to open source in general. Thus, before joining the group complaining about the complexity, costs, and lack of know-how, ask yourself the following questions:
how many other tools can lead you to the same solution?
Here are a couple of examples of what people choosing Hadoop had to say:
We started exploring the NoSQL solutions more than a year ago. We did some research on the available solutions and chose Hadoop/HBase for few reasons: 1. Java based 2. Open source 3. Hadoop - quite mature compared to other Java based solutions. Hadoop is also used by many web companies. 4. HBase - using Hadoop (so you get for free Hadoop stability, APIs etc.), like BigTable
We tested this solution for 6 months (as a small cluster) and were very happy with it.
The quest for a solution began in 2009 with an investigation of Zion’s existing Microsoft and Oracle technologies, as well as other technologies within the firm and new solutions on the market, Wood relates. After developing a list of six potential vendors, he says, he and his team quickly focused on two Hadoop-based solutions. The team, Wood explains, recognized the potential in Hadoop for “making security decisions proactively rather than reactively, based on mining business intelligence and combining it with event data from security devices.”
based on the list of tools helping you solve the same problem:
- how many are cheaper for your scenario?
- for how many of them you’ll find more resources?
- how many are operationally simpler?
how many of these tools evolve as fast as Hadoop and its ecosystem?
how many of them allow you to go beyond the initial scenario and start addressing other questions?
Here is what people say about what happens after adopting Hadoop.
It would be great if Hadoop administration would get simpler and operational costs would go down and if know-how would be easier to find. Rest assured that all these will happen. And if for the time being these are problems you cannot overcome, tell me about the alternatives.
Original title and link: Hadoop Has Promise but Also Problems… Show Me the Cheaper or Simpler Alternatives ( ©myNoSQL)
Splunk, the company which recently announced Shep a solution combining Splunk’s tool for collecting, monitoring, analyzing, searching, and reporting on massive streams of real-time and historical machine data with Hadoop, has filed for IPO.
Giving the following facts:
- you are in a market (Big Data, Web of Things) that is confirmed to see tremendous growth
- you have over 3300 customers,including a majority of the Fortune 100
- your revenues almost doubled year-over-year
the real question to be answered is why filing for IPO?
The very next question is who is going to be next rushing to capitalize on the growing trends of Big Data. Many names sprang to mind, but firstly what are your bets?
Original title and link: Splunk, the Search Engine for MacHine Data Company, Files for IPO. Why? ( ©myNoSQL)
It’s nice to see HBase and Hadoop in the Top 5 gainers of the OpenLogic’s Open source adoption trending report, but the list of contenders in the database and big data category is way too short: HBase, Hadoop, Mongodb, MySQL, PostgreSQL, CouchDB.
The top 5: HBase, Node.js, nginx, Hadoop, Rails ↩
Original title and link: HBase and Hadoop in OpenLogic Top 5 Trending Open Source Projects ( ©myNoSQL)
No 2012 predictions. Just facts.
GigaOm’s Barb Darrow commenting on Oracle’s Q2 financial results:
This is bad news for the company which pinned its cloud hopes on specialized data center appliances — the Exadata database machine, Exalogic middleware/application appliance, Exalytics analytics engine as well as a proposed ”Big Data Appliance.” This is the third consecutive quarter where Oracle posted hardware sales declines but this is probably more painful because the company is finally now fully engaged in its big data center appliance push.
As a low to mid range customer, I was disenfranchised by oracle, and we have gotten rid of segments of oracle in our data center. Just recently they have shown interest in us again so perhaps the low margin equipment will be back. Sun was not focused enough, and Oracle was too focused. Hopefully they are finding an profitable and useful middle ground.
So, NoSQL database #9999 there are many other equally usable solutions that are far more transparent in the way they do business and foster community around their products. This isn’t about paying money. This is about trust. So, sorry NoSQL #9999, but I’ll not be entering your sales cycle in this fashion or evaluating your product at this time. Moving along now…
Original title and link: How Polyglot Persistence and Having Data Storage Options Changes Things ( ©myNoSQL)