dynamo: All content tagged as dynamo in NoSQL databases and polyglot persistence
Holy cow! That’s a 4 followed by a 5… with no dots in between.
Derrick Harris for GigaOm: NoSQL startup DataStax raises $45M to ride Cassandra’s wave:
Cassandra’s success with such large users has to do with its ability to handle large-scale online applications that demand steady levels of performance, DataStax CEO Billy Bosworth told me. Scalability and performance have never been among Cassandra’s shortcomings, and the database is capable of replicating data across data centers. Large companies used to choose Oracle for applications that needed these capabilities, but now that NoSQL options are around and relatively mature, companies are rethinking whether the relational database model was ever really correct for some applications in the first place.
DataStax will use the funding to build out globally and invest in Apache Cassandra, the NoSQL open-source project and foundation for the company’s database distributions. The funding also signals a potential IPO for DataStax but much will depend on the direction of the markets, said CEO Billy Bosworth in an interview yesterday. “We are building the company for that direction (IPO),” he said. “A l lot depends on external factors. Internally, the company is already starting that process.”
According to my books:
- This is the largest round raised by a NoSQL company. It tops 10gen’s $45mil for MongoDB.
- This is the 3rd largest round raised in the new data market, after Cloudera’s $65mil. and Hortonworks’s $50mil. rounds.
Original title and link: $45millions more for DataStax ( ©myNoSQL)
I’m posting this on Saturday as there’re a lot of interesting talks and if Cassandra is on your radar it will take a couple of weekends to go through them.
Original title and link: Cassandra Summit’s Bests ( ©myNoSQL)
Over the weekend, Christopher Mims has published an article in which he derives a figure for Amazon Web Services’s annual revenue: $2.4 billions:
Amazon is famously reticent about sales figures, dribbling out clues without revealing actual numbers. But it appears the company has left enough hints to, finally, discern how much revenue it makes on its cloud computing business, known as Amazon Web Services, which provides the backbone for a growing portion of the internet: about $2.4 billion a year.
There’s no way to decompose this number into the revenue of each AWS solution. For the data space I’d be interested into:
S3 revenues. This is the space Basho’s Riak CS competes into.
After writing my first post about Riak CS, I’ve learned that in Japan, the same place where Riak CS is run by Yahoo! new cloud storage, Gemini Mobile Technologies has been offering to local ISPs a similar S3-service built on top of Cassandra.
Redshift is pretty new and while I’m not aware of immediate competitors (what am I missing?), I don’t think it accounts for a significant part of this revenue. Even if some of the early users, like AirBnb, report getting very good performance and costs from it.
Redshift is powered by ParAccell, which, over the weekend, has been acquired by Actian.
Amazon Elastic MapReduce. This is another interesting space from which Microsoft wants a share with its Azure HDInsight developed in collaboration with Hortonworks.
Interestingly Amazon is making money also from some of the competitors of its Amazon Dynamo and RDS services. The advantage of owning the infrastructure.
Original title and link: Amazon Web Services Annual Revenue Estimation ( ©myNoSQL)
- Uses Guice to load modules.
- Incorporates Jetty for Rest API and serving up UI.
- Pure Java build tool (Tablesaw)
- UI uses Flot and is client side rendered.
- Ability to customize UI.
- Relative time now includes month and supports leap years.
- Modular data store interface supports:
- H2 (For development)
- Milliseconds data support when using Cassandra.
- Rest API for querying and submitting data.
- Build produces deployable tar, rpm and deb packages.
- Linux start/stop service scripts.
- Made aggregations optional (easier to get raw data).
- Added abilities to import and export data.
- Aggregators can aggregate data for a specified period.
- Aggregators can be stacked or “piped” together.
Source code lives on GitHub. Let’s see where it goes.
Original title and link: Kairosdb - Fast Scalable Time Series Database ( ©myNoSQL)